Doctoral Researcher in Economic Theory, Empirical Microeconomics, International, Experimental or Behavioural Economics
Main Tasks Research and teaching in the area of Economic Theory, Empirical Microeconomics, Econometrics, Industrial Organisation, Behavioural/ Experimental Economics, or International Economics Your Profile A completed scientific university education (M.Sc. / M.A. / Diploma / Magister) in Economics or in a related quantitative-mathematical discipline with outstanding grades Talented and motivated applicants with a strong interest in Economic Theory and Policy, Industrial Organization, Behavioural Economics, International Economics, Empirical Economics or Econometrics Very good knowledge of theoretical and empirical economic methods An excellent command of the English language Our Offer The pay scale grouping will be, depending on the personal qualification of the applicant, up to pay grade 13 TV-L. Heinrich Heine University Düsseldorf aims at increasing the percentage of female employees. Applications from women will therefore be given preference in cases of equal aptitude, ability and professional achievements, unless there are exceptional reasons for choosing another applicant. Applications from suitably qualified severely disabled persons or disabled persons regarded as being of equal status according to Book IX of the German Social Code (SGB – Soziales Gesetzbuch) are encouraged. The employment is initially limited to a period of 2 years with an option for prolongation by two additional years if the applicant reaches the targets agreed upon with his/her supervisor during the hiring process. It is a qualification position in the sense of the Act on Fixed-Term Employment Contracts in Academia (Wissenschaftszeitvertragsgesetz-WissZeitVG), which is to promote the scientific qualification of the employee. The qualification target of this position is a PhD. The DGSE’s specific focus on Competition Economics and Regulatory Issues in research and teaching and the close links of DICE to competition policy practice provide an excellent platform for the education of doctoral students. Besides Competition Economics and Policy, we supervise other research topics in Applied Microeconomics, such as Behavioural Economics, Experimental Economics, International Economics and Econometrics. Doctoral students participate in courses and seminars which focus on the topics of the graduate programme. Our Benefits Company pension grant Good transport connection Free parking Flexitime Working from home International work Union rates Payment of capital-forming benefits About us Detailed information about DGSE and DICE is available at https://www.dice.hhu.de/phd-programme. Your contact person in case of questions regarding the position is Prof. Dr. Hans-Theo Normann; email: normann@dice.hhu.de. Please send your application by 16 September 2026. Heinrich Heine University upholds the principle of "Excellence through Diversity". It has signed the "Diversity Charter" and successfully participated in the Stifterverband's audit "Shaping Diversity". It is certified as a family-friendly university and has set itself the goal of promoting diversity among its staff. Applications from people of all genders are expressly welcome. Applications from women will be given preferential consideration in accordance with the State Equal Opportunities Act. The application of severely disabled persons and persons with equivalent disabilities is also welcome. In order for a severe disability or equality to be taken into account, please provide evidence of this with suitable documents. Contact Prof. Dr. Hans-Theo Normann Email: normann@dice.hhu.de
The Düsseldorf Graduate School of Economics (DGSE) and the Düsseldorf Institute for Competition Economics (DICE) are inviting applications for a position as Doctoral Researcher in Doctoral Researcher in Economic Theory, Empirical Microeconomics, International, Experimental or Behavioural Economics (m/f/d) (75% TV-L EG13).
Düsseldorf Institute for Competition Economics (DICE) - University of Düsseldorf
Public Economics & Economic Policy (JEL H)
Two Tenure-Track Assistant Professor Positions in Econometrics or Statistics/Economic Statistics - University of Verona
The positions offer a gross annual salary of approximately €50,000. National tax benefits may be available to researchers moving to Italy from academic positions abroad. Research funds covering expenses such as travel, conference fees and submission fees are allocated annually on the basis of research performance, including publications and research projects. The positions offer a tenure-track pathway to Associate Professor: researchers who meet the scientific qualification and productivity requirements established by Italian law and receive a positive evaluation by the University are appointed as Associate Professors. The positions come with a teaching load of up to 60 hours per year during the first three years and up to 120 hours per year from the fourth year onwards. The Department offers courses taught in both Italian and English at all academic levels. Candidates are expected to have a strong research track record and the ability to attract competitive research funding at both national and international levels. Interested applicants are requested to submit their expression of interest to hiring@dse.univr.it, including a complete curriculum vitae and a selection of three representative publications. The deadline for submissions is September 30, 2026. Recognized by the Italian Ministry of University and Research as one of the “Departments of Excellence” for the period 2023-2027, the Department of Economics offers a vibrant research environment at the Santa Marta campus in Verona. The Department has a young faculty with a good gender balance and pursues an active recruitment policy aimed at attracting talented scholars from Italy and abroad, further strengthening its dynamic and inclusive academic environment. Please note that this expression of interest does not constitute a formal job vacancy announcement.
The Department of Economics at the University of Verona (Italy) invites expressions of interest for two six-year tenure-track Assistant Professor (RTT) positions in Econometrics and Statistics/Economic Statistics.
Department of Economics, University of Verona
Econometrics, Statistics and Quantitative Methods (JEL C)
Doctoral Researcher (Deep Learning for High-Frequency Financial Data Modeling)
Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en. We are looking for a Doctoral Researcher to work on deep learning methodologies for high-frequency financial data modeling. The selected applicant will be member of the Computational Intelligence group led by Professor Alexandros Iosifidis, and closely collaborate with the Financial Data Science group led by Professor Juho Kanniainen, at the Unit of Computing Sciences of Tampere University. The position is full-time and will be filled as soon as possible for a fixed-term period of four years. The workplace is located at Hervanta Campus of Tampere University, Finland. JOB DESCRIPTION The Doctoral Researcher will conduct research on designing, implementing, and proposing new Machine/Deep Learning methods and models for Financial Markets. Topics of interest include generative models for financial data synthesis and/or forecasting, trustworthy financial data predictions, world models for financial markets, system-II predictive models, and multi-model multi-asset routing mechanisms for financial predictions. The project combines real-world financial data analysis with hands-on design and development of Machine Learning models that push the state-of-the-art, with room to shape the direction of research based on the researcher’s interests. Writing high-level scientific publications is an essential part of the research. In addition to the research towards the doctoral dissertation, the duties of the researcher may include some teaching tasks (5-10%) or other small faculty tasks that support the studies. REQUIREMENTS A completed master's degree in computer science, computer engineering, or another related field. Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches, with emphasis on fundamental concepts and techniques. Ability to conduct systematic scientific research related to the design of Deep Learning methods and models. A curious mind and solid skills in critical thinking and problem solving. Knowledge and experience of Generative AI focusing on the methodologies and their applications in different types of data. Knowledge of financial data analysis, especially Limit Order Book data, is considered an advantage. Excellent communication skills in English, and ability to collaborate in multidisciplinary teams. Ability to write research papers in high-quality peer-reviewed journals or conferences in the field of Machine Learning and/or Finance. You need to have completed a relevant Master’s degree before the starting date of employment. The selected person will need to apply for and be granted a study right for a doctoral degree in the doctoral programme of Computing and Electrical Engineering at Tampere University. Please visit the admission web page of the doctoral programme of Computing and Electrical Engineering for more information on eligibility requirements of the doctoral programme. Please note that if you have not completed a university degree in Finland, an official English language certificate will also be required for the admission to the doctoral programme. The accepted English language certificates and their minimum requirements, as well as exemptions regarding the certificates, are available here. WE OFFER The full-time position will be filled for a fixed-term period of four years. The planned starting date is December 1st, 2026 or as mutually agreed by both parties. A trial period of six (6) months applies to all our new employees. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the Finnish University Salary System. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2-4 of the job requirements scale. A typical starting salary for a Doctoral Researcher is approximately 2770-2900 EUR/month. The salary increases based on experience and the progress of doctoral studies. We are inviting you to be a part of a vibrant, active and truly international research community. Our Data Science Research Centre is formed by experts actively contributing to different aspects of Artificial Intelligence, especially in Fundamental and Applied Machine Learning. Moreover, both Professor Alexandros Iosifidis and Professor Juho Kanniainen are Associated Faculty of the newly established ELLIS Institute Finland which is a world-class research hub in AI and machine learning. We value interdisciplinarity, as it allows new perspectives and ideas to solve research problems and pursue novel research findings in human-centered interactive technologies. We are strongly committed to the highest level of scientific research and the provision of high-quality doctoral education. As a member of staff at Tampere University, you will enjoy a range of competitive benefits, such as occupational health care services, flexible work schedule, versatile research infrastructure, modern teaching facilities and a safe and inviting campus area as well as a personal fund to spend on sports and cultural activities in your free time. Please read more about working at Tampere University. You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community - our academic playground. Tampere is one of the major academic hubs in the Nordic countries and offers a dynamic living environment. Tampere region is one of Finland´s three most rapidly growing urban areas and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. HOW TO APPLY Please submit your application through our online recruitment system. The closing date for applications is Monday, October 5th, 2026 (23:59:00 EEST / UTC +3). Please write your application and all the accompanying documentation in English and attach them in PDF format. Please attach only the following documents to your application: Curriculum vitae. Free-form application letter including 1) a brief statement of how you meet the criteria for this position, and 2) description of your research interests in the scope of the Doctoral Researcher position described above. This letter should be max. 3 pages long, font 12. PDF copies of your Master’s and Bachelor’s degree certificates, including transcripts of all university records (in Finnish or English). Other relevant documents that support your application, e.g. your Master’s thesis, the most relevant publications regarding the call (max. 2), and a list of referees. For more information, please contact: Professor Alexandros Iosifidis, alexandros.iosifidis@tuni.fi Professor Juho Kanniainen, juho.kanniainen@tuni.fi
Join Tampere University as a Doctoral Researcher focusing on deep learning methodologies for financial data modeling. This full-time position has a starting date of December 1st, 2026.
Postdoctoral Researcher in Economic Theory, Empirical Microeconomics, or in Behavioural/ Experimental Economics
Main tasks research in the area of Economic Theory, Empirical Microeconomics or Behavioural/ Experimental Economics teaching in the Economics programmes of the faculty Your Profile a completed scientific university education (M.Sc./ M.A./ Diploma/ Magister) in the field of Economics or a related discipline with outstanding grades PhD in the relevant field very good knowledge of theoretical and empirical economic methods excellent command of the English language Our Offer The pay scale grouping will be, depending on the personal qualification of the applicant, up to pay grade 13 TV-L. In principle, the employment can also take place part-time, if no compelling official reasons are opposed in an individual case. The employment is limited to a period of three years, starting on January 1st, 2027. It is a qualification position in the sense of the Act on Fixed-Term Employment Contracts in Academia (Wissenschaftszeitvertragsgesetz-WissZeitVG), which is to promote the scientific qualification of the employee. Our Benefits Company pension grant Good transport connection Free parking Flexitime Working from home International work Union rates Part-time possible Payment of capital-forming benefits About us Heinrich Heine University Düsseldorf aims at increasing the percentage of employed women. Applications from women will therefore be given preference in cases of equal aptitude, ability and professional achievements unless there are exceptional reasons for choosing another applicant. Heinrich Heine University strongly supports the principle of excellence through diversity. Heinrich Heine University signed the “Diversity Charter” and successfully participated in the Stifterverband‘s “Shaping Diversity” audit. It is certified as a family-friendly university and has set itself the goal of promoting the diversity of its employees. Applications from suitably qualified severely disabled persons or disabled persons regarded as being of equal status according to Book IX of the German Social Code (SGB – Soziales Gesetzbuch) are encouraged. Detailed information about DICE is available at https://www.dice.hhu.de. Your contact person in case of questions regarding the position is Prof. Dr. Joel Stiebale; email: stiebale@dice.hhu.de. Interviews may also be conducted virtually via Cisco WebEx. Please send your application by September 23th, 2026. Heinrich Heine University upholds the principle of "Excellence through Diversity". It has signed the "Diversity Charter" and successfully participated in the Stifterverband's audit "Shaping Diversity". It is certified as a family-friendly university and has set itself the goal of promoting diversity among its staff. Applications from people of all genders are expressly welcome. Applications from women will be given preferential consideration in accordance with the State Equal Opportunities Act. The application of severely disabled persons and persons with equivalent disabilities is also welcome. In order for a severe disability or equality to be taken into account, please provide evidence of this with suitable documents. Contact Prof. Dr. Joel Stiebale stiebale@dice.hhu.de
The Faculty of Business Administration and Economics of Heinrich Heine University Düsseldorf and the Düsseldorf Institute for Competition Economics (DICE) are inviting applications for a position as Postdoctoral Researcher in Economic Theory, or in Empirical Microeconomics, or in Behavioural/ Experimental Economics (m/f/d).
Target Students and researchers Category Research support Call Open 20 July 2026 - 16 October 2026 The initiative aims to support and recognise outstanding early-career researchers in the fields of economics and finance, enabling them to pursue innovative research projects and contribute to the advancement of academic research, in line with UniCredit Foundation’s mission to invest in talent and promote scientific excellence. Research Grant Details UniCredit Foundation will award 4 research grants to researchers of any nationality employed at European universities located in Countries where UniCredit Group operates. At least one of the four grants will be awarded to a female candidate. Grant amount: €25,000 gross per year, renewable for a second year, up to a maximum total amount of €50,000 gross per recipient Duration: up to two years. Key Dates Application deadline: 16 October 2026 Announcement of winners: by 1 February 2027 This initiative reflects UniCredit Foundation’s commitment to investing in young talent, supporting academic excellence and fostering the next generation of economists and researchers. - Download the announcement - Apply Eligibility Who can apply for the grant? The competition is open to young researchers of any nationality employed at European universities located in the countries where UniCredit Group operates (see following question). Which countries are considered part of UniCredit’s footprint? The eligible countries are: Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Italy, Poland, Romania, Serbia, Slovakia, and Slovenia. Is there an age limit? Yes, applicants must be born on or after 1 January 1991. Exceptions apply: female candidates: +1 year per child; male candidates: extension equivalent to documented parental leave. What academic qualifications are required? Applicants must hold a PhD in economics, finance, or a related quantitative field (e.g., statistics, mathematics, data science) with a demonstrated focus on economic or financial applications. What professional position is required? Applicants must hold positions such as: Assistant Professor, Research Assistant or equivalent position at a European university within eligible countries (see previous questions). Is a publication record required? Yes, candidates must have at least two articles published or forthcoming in international journals. What kind of research project is required? Applicants must submit an original research project in economics or finance that: is not funded by other sources, is suitable for academic publication. Can I apply with co-authors? Yes, but all co-authors must meet the same eligibility requirements. When must the research project start? The project must start no later than March 2027. Are funded projects eligible? No, projects already funded by other sources are not eligible. Are PhD students eligible to apply? No. Only candidates who already hold a PhD in economics, finance, or a related quantitative field are eligible to apply. Current PhD students do not meet eligibility requirements. Are Associate Professors eligible? No. Associate Professors are not eligible, either as principal applicants or as co-authors. The Modigliani Research Grant is intended for early-career researchers holding positions such as Assistant Professor, Research Assistant, or equivalent roles. Do previous academic positions need to be held in an eligible country? No. The eligible-country requirement (see previous Questions) applies only to the applicant’s current academic position. Previous academic appointments may have been held in any country. Can a project receive additional funding from other sources during the grant period? No. Projects that are already funded or expected to receive funding from other institutions during the grant period are not eligible. Applicants must ensure that the proposed research project is carried out exclusively under the support of the Modigliani Research Grant. Is a project eligible if it has received funding only for a pilot phase? Funding received exclusively for a preliminary pilot phase may be evaluated on a case-by-case basis. Applicants should clearly describe the nature, scope, and purpose of any previous funding in their application. The Scientific Committee and UniCredit Foundation reserve the right to assess whether such funding affects the project's eligibility. Contact Information For further information email: info@unicreditfoundation.org
UniCredit Foundation is pleased to announce the launch of the 17th edition of the Modigliani Research Grant, established in memory of Nobel Laureate Franco Modigliani.
Junior Professorship (W1) with Tenure Track to W2 ”Management of Bio-based Value Chains“
Martin Luther University Halle-Wittenberg's aim in offering the junior professorship with tenure track is to enable young academics with excellent prospects to become independent at an early stage of their career and to offer them long-term career prospects. The junior professorship with tenure track is aimed at academics in the early career phase. At the Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences (IAEW) at Martin Luther University Halle-Wittenberg, the following position is to be filled: Junior Professorship (W1) with Tenure Track to W2 ”Management of Bio-based Value Chains“ We are seeking a candidate with in-depth knowledge and an outstanding doctorate in agricultural economics or related disciplines. The candidate should be involved in research and teaching in the field of demand-oriented management of bio-based value chains and after completing the tenure track, will represent the entire broad spectrum of the subject area in research and teaching. Bio-based value chains form the basis of modern sustainable agriculture. Appropriate management of bio-based value chains should reduce negative social externalities and promote positive economic, ecological and social development, at the same time being subject to dynamic change. On the one hand, there are technological innovations, e.g. in the substitution of fossil raw materials in the bioeconomy, the cascade use of plant and animal products, and the efficient use of resources through circular economy. On the other hand, change arises from organisational innovations within value chains, for example through digitised and automated business processes, as well as digital and platform-based transactions between stakeholders. The junior professor therefore will focus on examining the impact of innovations on businesses, end consumers and the agri-environmental system across the value chain – always from a business management and strategic planning perspective. Relevant areas of research include but are not limited to: new customer-centric business models, risk management and corporate resilience in the face of increasingly volatile environmental factors, relationship marketing, cross-functional quality management, corporate social responsibility, consumer and societal acceptance of business models and the promotion of positive externalities. Methodologically, one can employ both quantitative and qualitative methods of business analysis and planning, agricultural economic modelling as well as life-cycle assessment and sustainability metrics for estimating environmental impacts. The research focus of the professor offers a wide range of opportunities for cooperation with other professorships at the IAEW and the Faculty. Examples are joint research on new concepts for coupled plant and animal production to replace fossil raw materials and energy sources or to assess environmental impacts. Links are also available to existing and future interdisciplinary joint projects (e.g. DiP – https://www.dip-sachsen-anhalt.de and JTC – https://jtc.uni-halle.de) focusing on innovation and the design of socioeconomic agricultural systems. Research should be compatible with the university's profile areas, in particular ‘transformation’ and ‘sustainability’. Networking is highly desired with the natural and nutritional sciences within the university and with socio-economic institutions, such as the Leibniz Institute for Agricultural Development in Transition Economies (IAMO). A willingness to cooperate in related fields is expected with the aim of contributing to the research output and third-party funding of the IAEW. Experience in independent scientific publishing must be demonstrated through relevant international publications. Experience in acquiring third-party funding is an advantage. The focus of the teaching offered by the professor should be on management in the bachelor's and master's programmes at the IAEW, e.g. on the management of value-chains, marketing, and corporate social responsibility. Experience in teaching and supervising academic theses is expected. The willingness and ability to teach in German and English is a prerequisite. The faculty places great emphasis on committed and innovative teaching. Applicants are expected to demonstrate a commitment to delivering attractive teaching through innovative ideas. Experience in the development and design of degree programs is desirable. In addition, a cooperative, team-oriented approach to work and strong communication skills are desirable. Participation is also required in academic self-administration and a willingness to take on leadership responsibilities at Martin Luther University Halle-Wittenberg and to improve personal development. Further duties are specified in Section 34 of the Saxony-Anhalt Higher Education Act. Applicants must fulfil the requirements of being appointed according to Section 40 of the Saxony-Anhalt State Law of Universities. In particular, the prerequisites for employment are a completed university degree, pedagogical ability and a particular aptitude for scientific work, which is usually demonstrated by the outstanding quality of a doctorate. As a rule, the time period between the final doctoral degree examination and the application for this junior professorship should not exceed six years (family-related reductions in working hours are taken into account appropriately when assessing the academic age). Junior professorships are filled on the basis of a temporary civil service contract, initially for a period of three years. The position shall be renewed for a further three years conditional upon a positive mid-term evaluation. Upon a positive tenure evaluation, and without a new vacancy announcement, there is a transition to a permanent W2 professorship. If the general legal requirements are met, this transition includes appointment through a lifelong civil servant relationship, or alternatively, transfer to an indefinite private-law employment relationship. The Martin Luther University Halle-Wittenberg is committed to diversity and aims to create an inclusive environment where our staff and students feel valued and inspired. In particular, we aim to increase the proportion of women appointed as permanent staff; therefore, appropriately qualified female candidates are strongly encouraged to apply for this position. The Martin Luther University Halle-Wittenberg strives to provide an environment compatible with work-life balance and has been certified as a family-friendly university since 2009. Applications from candidates with disabilities are particularly welcome, and will be given preference in the event of equivalent qualification. Applications are accepted only electronically via the Appointment Portal of Martin Luther University Halle-Wittenberg at: https://berufungsportal.uni-halle.de/ before 18.10.2026. With the application the following information must be submitted: a cover letter, a detailed curriculum vitae should be uploaded including the candidate’s scientific career and qualifications, academic certificates, a list of publications and successful third-party funding as well as a teaching record including evaluations. Please include a statement outlining future research plans, with a brief description of your research project for the next six years of the junior professorship in relation to MLU as a research institution (maximum 2 pages), as well as a teaching plan (1–2 pages). For further subject-related information, please contact Prof. Dr. Jan-Henning Feil (Tel.: +49 345 55 22361, e-mail: jan-henning.feil@landw.uni-halle.de). Please note: Applications to his email address will not be considered. If there are any questions about the appointment portal, please contact the Dean of the Faculty of Natural Sciences III and Chair of the Appointments Committee, Prof. Dr. Matthias Müller-Hannemann, (e-mail: dekanat@natfak3.uni-halle.de). The call for applications is subject to possible budgetary restrictions. Please note that the University is unfortunately unable to reimburse costs associated with the application.
We are seeking a candidate with in-depth knowledge and an outstanding doctorate in agricultural economics or related disciplines.
Martin-Luther-Universität Halle-Wittenberg
Agricultural and Environmental Economics (JEL Q)
2026 Economic Job Market Best Paper Award
Target: Students and researchers Category: Research support Date: 20 July 2026 - 12 October 2026 The Award aims to promote excellence in economic research by recognising outstanding Job Market papers and enhancing the visibility of the most talented young economists as they enter the international academic job market, in line with UniCredit Foundation’s mission to invest in talent and support the next generation of researchers. Award Details UniCredit Foundation will award 5 prizes of €1,000 gross each. The Award is granted directly to individual candidates, irrespective of their nationality or the university at which they are enrolled. Preference is given to single-authored papers demonstrating high levels of originality and publication potential. Key Dates Application submission deadline: 12 October 2026 Announcement of winners: by 20 November 2026 Download the announcement For further information email: info@unicreditfoundation.org Apply Here Eligibility Who is eligible to apply? Applicants must be PhD candidates or PhD graduates that will participate to the European Job Market for Economists 2026. Is registration for the European Job Market for Economists required? Yes. Registration for the European Job Market for Economists 2026 is a mandatory eligibility requirement. Applicants must provide evidence of participation, such as a confirmation email or a screenshot of the relevant registration or participation webpage. Can recent PhD graduates apply? Yes. Both PhD candidates and recent PhD graduates who are participating in the EJM 2026 may apply. Can applicants from non-European universities participate? Yes. Eligibility is not restricted by geographic location or university nationality, provided the applicant is participating in the European Job Market for Economists 2026.
UniCredit Foundation announces the launch of the 13th edition of the Economic Job Market Best Paper Award, promoted in collaboration with the European Economic Association.
Two Tenure-Track Assistant Professorships (2 x 100%) - Specialisation: Empirical Management Research
The two professorships are in empirical management research, with a particular interest in the opportunities and challenges associated with digital transformation, data-driven decision-making, and the increasing use of artificial intelligence in organisations and the wider economy. Relevant research areas include decision research, human resource management, managerial accounting, innovation and digitisation, industrial organisation, information systems, data science for business, and related areas of empirical management research. Methodologically, the research profiles should be grounded in quantitative empirical approaches, including field or laboratory experiments and/or the analysis of organisational, personnel, or other data sources using modern quantitative methods. Successful candidates fit well with the faculty’s existing research cluster in applied microeconomics and econometrics and contribute to collaboration and exchange across research groups. Ideal candidates therefore also build on perspectives from microeconomics and address topics of societal relevance related to the existing research cluster. Your responsibilities Conducting methodologically rigorous and societally relevant empirical management research, guided by open science practices. Publishing regularly in high-quality scientific journals in the field. Actively participating in relevant national and international workshops and conferences. Supervising Bachelor’s, Master’s, and doctoral theses. Acquiring competitive third-party funding from institutions such as the Swiss National Science Foundation and other Swiss or international funding bodies. Establishing research and teaching cooperations with other universities and with other faculties at UniDistance Suisse. Teaching in the faculty’s Bachelor programmes (in German, French, and/or English) and/or in the Master’s and Doctoral programmes (in English). Developing and implementing innovative teaching methods, with a particular focus on e-learning and digital education. Actively supporting the further development of the faculty, the faculty’s study programmes, and the range of courses offered by the faculty. Contributing to and further developing continuing education courses and the faculty’s services targeted at a broader public. Your profile Doctoral degree and research experience in a relevant field. Expertise in the application of quantitative empirical research approaches, including field or laboratory experiments and/or the analysis of organisational, personnel, or other data sources using modern quantitative methods. A promising research agenda in empirical management research, with a specialisation that complements the faculty’s existing research cluster and demonstrates integration into an international research network. A promising research and publication pipeline, ideally including first publications in high-quality journals in the field. Experience in acquiring, or strong potential to acquire, competitive third-party research funding. Willingness and ability to develop effective online teaching modules in areas related to the candidate’s specialisation; teaching experience, particularly in blended learning, is an advantage. Proficiency in English and active knowledge of either German or French is required, together with passive knowledge of the other language, as well as the ability and willingness to teach in German or French within one year. We offer Tenure-track assistant professor positions, with the possibility of promotion to a permanent position, subject to a positive tenure evaluation. Support and dedicated funding to establish and develop a research and teaching team. A dynamic academic environment within a research-intensive institution, characterised by strong scientific expertise, interdisciplinary collaboration, and a growing international profile. A high degree of autonomy and responsibility, offering substantial scope for initiative, ownership, and professional development within a dynamic and evolving institutional context. The opportunity to contribute to and shape innovative approaches to online teaching and distance education, supported by comprehensive training and technical pedagogical support. An inspiring working environment at our campus in Brig, located close to the historic town centre and the Swiss Federal Railways (SBB) station, with excellent rail connections across Switzerland and Europe as well as into the surrounding mountain region, offering a high quality of life. Attractive employment conditions, including modern working arrangements, competitive social benefits, and access to a wide range of continuing education and professional development opportunities. A strong institutional commitment to equity, diversity, inclusion, and accessibility. We particularly encourage applications from individuals who are underrepresented in academia and from candidates with diverse backgrounds, experiences, and career paths. How to apply We look forward to receiving your full application in one PDF document no later than 13 September 2026 at the following email address: jobs@unidistance.ch. Your application should include the following elements: Letter of motivation, CV (including a list of publications, working papers, and/or current research projects), teaching experience, teaching evaluations (if available), list of third-party funds (if applicable), research statement (maximum 2 pages), teaching statement (maximum 2 pages), and the names and contacts of two to four references who are ready to supply a reference letter upon request. For administrative questions regarding the procedure, please contact Mr Patrick Constantin, Head of Human Resources (patrick.constantin@unidistance.ch). For academic questions, please contact Prof. Manuel Grieder, Dean of the Faculty (manuel.grieder@unidistance.ch).
UniDistance Suisse offers fully online university degree programmes and is accredited under the Swiss Higher Education Act (HEdA). It combines flexible, location-independent, part-time distance learning with an active, interdisciplinary research culture on its campus in Brig. Across five faculties – Law, Psychology, Business & Economics, History, and Mathematics & Computer Science – we have been shaping modern teaching, learning, and research for more than 30 years. Today, UniDistance Suisse has over 2,700 students and around 550 staff members. To further support the growth and development of UniDistance Suisse, the Faculty of Business & Economics invites applications for two Tenure-Track Assistant Professorships (2 x 100%), Specialisation: Empirical Management Research Place of work: Brig | Start of work: 1 February 2027 or upon agreement
Understanding bias Bias means that an estimator we’re using to learn about a real-world phenomenon is not accurate. It’s not hard to see that this is a bad thing! On the flip side, if an estimator is unbiased, it’s (usually) accurate and thus we can trust it without doing any further work. The linguistic definition of bias varies and can be misleading, but the mathematical definition is precise. We’ll use it to explore the concept of bias further. It states: \begin{equation*} \mathbb{E}(\hat{\beta}) - \beta = 0 \end{equation*} Or, equivalently, \begin{equation*} \mathbb{E}(\hat{\beta}) = \beta \end{equation*} This equation says “the expectation of our estimator of beta minus the true value of beta is zero”, or equivalently, “the expectation of our estimator of beta equals the true value of beta”. Beta is simply a Greek letter that’s most often used to denote a regression coefficient; here, it symbolizes the effect we’re interested in studying. The expectation symbol (the fancy “E”) is a very important part of this definition: it gives the expected value, or mean, of the quantity inside it. (If you need touching up on mathematical symbols, we’ve got you covered.) Let’s dig deeper into how this works. The expectation of a constant is trivial, since constants don’t vary and the mean of a constant is itself. So for example, the expectation of 4 is just 4. Not very exciting. But when it comes to random variables that can take on many different values — like “the number of heads in 5 coin flips” — the expectation is suddenly very useful. It tells us what our “best bet” is: the average (or most likely) outcome. Of course, in 5 coin flips, the expected number of heads is 2.5, and it’s impossible to get 2.5 heads out of 5 flips. But, this is still an intuitive way to think about it. Therefore, the expectation of our estimator \hat{\beta} tells us its expected value, or in other words, what we’d guess it would be if we ran an experiment to measure it. When we’re using this estimator \(\hat{\beta}\) to study, say, the effect of car sales on carbon dioxide emissions, we want its expected value to be the true effect that selling a car has on emissions. If our estimator is wrong on average — say, it oversells the true effect and makes selling cars look worse than it actually is (or vice versa) — then it is biased. In other words, if the estimator’s expectation is not equal to the true, real-world effect (represented by \(\beta\) ), it is biased! Meanwhile, estimators that satisfy this criteria are unbiased, which is great news! Unbiased estimators are usually preferred over biased ones, all else equal. Examples of bias in economics Sadly, in economics and many sciences, naturally-occurring unbiased estimators are few and far between. This is often the case because of how complicated and interconnected economic factors are. When one factor affects another in economics, we usually need to work hard to disentangle the effects of everything else in the economy on those two things. If we can do so, we will be able to study them in “isolation”. This will lead us to getting an unbiased estimator, but it can be devilishly tricky. For example, we can’t simply throw investment and GDP into a regression and expect to get an unbiased estimate for “how much investment increases GDP”. This is a classic endogeneity problem, because investment increases GDP, but a higher GDP means an economy will have more funds to invest! And even besides this issue, there are many factors that increase both investment and GDP at the same time: a fall in interest rates, for example, can spur investment and increase GDP. Therefore we must account for interest rates when considering this relationship. In fact, once you learn how to think about bias in economics, it becomes difficult to find an estimator that isn’t biased. The effects of education on income are biased because of people’s innate ability — those with more ability tend to get more schooling, and those with more schooling tend to earn higher wages. An estimate of how city parks affect people’s life satisfaction would be biased, too — wealthier neighborhoods can afford more parks, but also likely have higher life satisfaction than poorer neighborhoods because they’re wealthier (not because of the parks). The effects of policing on crime can be biased because high-crime areas attract more police attention. Analyzing these biased scenarios improperly can lead to erroneous results — with this last example, a simple regression might suggest that more police cause more crime! There are nearly infinite examples of how an estimator could be biased in economics. It seems important, then, that we understand what the effects of bias on our analysis are. Bias causes inference to be inaccurate As we discussed above, the mathematical definition of bias tells us that if an estimator is biased, it’s inaccurate. Let’s expand on this idea further. The regression coefficient \(\hat{\beta}\) is supposed to give an idea of the effect size of x on y. This number is usually calculated with a computer program and reported with supplementary statistics that tell the economist how “significant” the result is. But if the estimator is biased, a significant result might lead us to conclude that the true real-world effect size is close to the biased estimator’s value. By the definition of bias, this is wrong! (Think of our policing example above.) Even worse, our estimate of the sample mean is often used to construct so-called confidence intervals. If we have a biased estimator, the sample mean will also be biased. Confidence intervals are ranges that tell the researcher “with 95% likelihood, the true effect size lies within this range” (or a similar percentage). For example, if we find that 1 additional year of schooling increases future income by $5000, a confidence interval might range from $4300 to $5700. Then, the researcher is led to believe that the true population value lies within that interval with a high probability — it’s at least $4300 or not more than $5700. However, if the estimator was biased this can be completely wrong. We can’t observe innate ability (we can use imperfect measures like IQ scores, but let’s ignore that for now), which increases both the likelihood of getting more education and the likelihood of making a higher income. This means that our simple estimator is biased upwards, since the regression falsely attributes all of “innate ability”’s power for increasing income to “education” instead. Therefore, it’s possible the true effect would be only $3900, which is completely outside of the biased confidence interval that the researcher is now very confident in! Correcting bias If we end up with a biased estimator, not all is lost. There are methods to correct bias. Most of these involve accurately diagnosing the form of the bias and ensuring that appropriate steps are taken to resolve the issue. Let’s return to some of our earlier examples. Suppose we wanted to measure the effect of parks on people’s life satisfaction, and we run a regression to capture this effect. If we don’t have data on wealth included, clearly we have an omitted variable problem and the estimator will be biased. But there’s an easy solution in this case: collect data on wealth of the areas used in the study, and this will ensure the effect of wealth is not captured by our “parks” variable. This can remove the bias. Sometimes, it’s not possible to collect data that we might need to remove the bias. Consider “attenuation bias”, which is caused by measurement error that systematically under- or over-states the true values — if our measurements themselves are biased, clearly we can’t simply fix that by collecting more data. One great example of this is self-reported income: people tend to overstate their income in surveys, which leads to a bias we cannot remove. In cases like these, we can turn to advanced regression and statistical inference methods to help us analyze the data and attempt to recover the truth. Still, it’s better to simply avoid these scenarios if at all possible. Identifying and correcting bias in an economic or data science model is complex and can require years of studying to master. Still, this section should have given a good intuition for how it can be done. We’ve spent quite a while now discussing bias and its effects, and clearly, ceteris paribus, it’s better to have an estimator that is unbiased. And yet… A little bias is often acceptable Bias is sometimes not only okay, but even welcome in an analysis. Of course, this begs a question. Why on earth would we ever want an estimator to be biased?! Has this whole article been a lie? The unfortunate truth is that bias and its cousin, variance, have an interconnected relationship. This forces economists, statisticians, and data scientists to make a choice between how much of either one they’re willing to tolerate. In short, scientists can increase bias to reduce variance, so in cases where variance is too high (creating an “unstable” estimator) we might introduce bias to settle down the variance. In this case, we can reduce the total error of the regression equation, which improves our analysis. Say that increasing bias by 10% reduces variance by 50%; this will lower the overall error of our analysis, and is a worthwhile trade. Still, in general, bias isn’t something to go looking for. Now you should be well equipped to recognize it! Good to Know Small sample sizes are often an issue in regression analysis. Because of this, every economist or data scientist prefers to have more data rather than less in their dataset. To see this, consider a coin flip. When we flip a coin, we expect it to be heads half the time and tails the other half of the time. But, it’s entirely possible that we flip a coin 10 times and get heads 8 times instead of 5. If we were running a regression and used this experiment as our estimate, we’d get an 80% chance of heads. This seems like a problem — if we didn’t already know beforehand that a fair coin has a 50% chance of landing on heads, how could we tell that this estimate is wrong? And, is this a case of bias? This example — and indeed, all of the examples in this article — highlight that theory is very important. When studying bias and analyzing data, it’s imperative that the data scientist understands what the data actually means. This will help them make the right decisions in their analysis, and help them to make correct takeaways. So, if this coin experiment was run and the data scientist had a solid theory about it — like that coins should land on heads 50% of the time — they could make an informed guess that either they’ve observed a slightly unexpected outcome, or the coin could be weighted. Then, they can figure out how to test these hypotheses and learn more. Further Reading Advanced readers might be interested to know that, shockingly, there exist estimators that are biased but provably better than unbiased options — even if variances are comparable! The James-Stein estimator is one such intentionally biased estimator that improves upon the usual “default” results. The classic method for “solving” a regression equation, Ordinary Least Squares (or OLS), minimizes the squared error terms in the regression. This results in coefficient values that can be unbiased (if the researcher used OLS correctly) and that are as close to the true values as we can get, given the variations in the random data we collected. The James-Stein estimator is built on a concept that shocked statisticians when it was initially introduced in 1961. Put simply: we can bias our own estimates downward in order to reduce the sum of squared error even more than OLS can. Then, since we have less error on average, we are closer to discovering the true population value overall, even though we purposefully biased the estimators downwards to understate the effect size! Estimators that are strictly worse in a total-error sense than other estimators in this way are called “inadmissible”. Thus, statisticians proved OLS is inadmissible. And later, they also proved that the James-Stein estimator itself is also inadmissible! This begs many questions, not least of which is why we’d ever use OLS (or other unbiased estimators) if we can purposefully bias our estimators to get “better” results. Alas, this topic goes much beyond the scope of this article, but the answer lies in the bias-variance tradeoff, the specific research question at hand, and the (size of the) dataset used among other factors. Consider taking courses in statistics, data science, or econometrics to learn more!
Nobody wants to be biased! But rather than suggest someone isn’t a fair judge, “bias” in economics has a very specific — and perhaps equally distasteful — meaning. This econometric concept is borrowed straight from the field of statistics, just like its cousin, variance. Both bias and variance have very important roles to play in our analysis of real-world data via regression analysis, and they’re linked together through the bias-variance tradeoff. Regression analysis is an important tool in the modern economists’ toolkit (as well as any other scientist or data analyst!). With it, we have methods to test economic theories and understand how certain processes or variables affect others. In our article on regression analysis, we touched on several factors that can complicate an analysis and lead to incorrect conclusions. Bias is one such factor.
als wissenschaftliche/n Referentin/Referenten des Vorstands. Neben der Erledigung unterstützender Aufgaben für den Vorstand des RWI in allen Bereichen des Wissenschaftsmanagements besteht die vielseitige Tätigkeit in der wissenschaftlichen Forschung in einem der Forschungsschwerpunkte des Instituts. Von Bewerbern/Bewerberinnen wird erwartet, dass sie neben einem Prädikatsexamen und ersten Erfahrungen in der wissenschaftlichen Forschung über fundierte Kenntnisse in ökonomischer Theorie und angewandter Ökonometrie sowie über die Fähigkeit zum eigenständigen Arbeiten innerhalb eines Teams verfügen. Darüber hinaus setzen wir Belastbarkeit, Flexibilität, Organisationstalent, ausgezeichnete Ausdrucksformen in Wort und Schrift und sehr gute Fremdsprachenkenntnisse (v.a. Englisch) voraus. Ebenso erwarten wir Kenntnisse im Umgang mit gängiger Software (insbesondere statistisch-ökonometrischen Programmen). Erste Ein-blicke in die Organisationsstrukturen einer Forschungseinrichtung und das Wissenschaftsmanagement sind wünschenswert. Die Stelle ist mit der Möglichkeit zur Promotion verbunden, die im Rahmen eines strukturierten Doktorandenprogramms am RWI aktiv unterstützt wird. Die Stelle ist in Vollzeit zu besetzen und ist zunächst voraussichtlich für die Dauer von zwei Jahren befristet, die Befristungsdauer orientiert sich an der angestrebten Qualifizierung. Eine Verlängerung ist möglich und erwünscht. Die Vergütung erfolgt nach dem Tarifvertrag für den öffentlichen Dienst der Länder (TV-L) mit den Sonderregeln für Beschäftigte an Hochschulen und Forschungseinrichtungen entspre- chend der mit der Stelle einhergehenden Verantwortung in der Entgeltgruppe 13. Die Beachtung der Schwerbehindertenrichtlinien und der Vorschriften des Gesetzes über Teilzeitarbeit ist gewährleistet. Wir fördern die Gleichstellung aller Geschlechter. Bitte richten Sie die üblichen Bewerbungsunterlagen, gerne auch per E-Mail, unter Angabe der Kennziffer 70001-06/26 bis zum 31. August 2026 an RWI – Leibniz-Institut für Wirtschaftsforschung Herr Tilo Schneider Postfach 10 30 54, 45030 Essen, personal@rwi-essen.de Nähere Informationen zum Institut unter www.rwi-essen.de Bitte beachten Sie bei der Übersendung Ihrer Bewerbung per E-Mail, dass bei diesem Übermittlungsweg Ihre Daten unverschlüsselt sind und unter Umständen von Unbefugten zur Kenntnis genommen oder auch verfälscht werden könnten. Gerne können Sie uns Ihre Unterlagen per Post zukommen lassen. Essen, 21. Juli 2026
Das RWI – Leibniz-Institut für Wirtschaftsforschung ist ein führendes Zentrum für wirtschaftswissenschaftliche Forschung und evidenz- basierte Politikberatung in Deutschland und wird überwiegend aus Mitteln des Bundes und der Länder finanziert. Das Institut informiert mit seinen Arbeiten über ökonomische Entwicklungen und deren Ursachen, erleichtert Politik und Unternehmen sachgerechte Entschei-dungen und fördert in der Öffentlichkeit das Verständnis für wirtschaftliche Zusammenhänge. Das Institut sucht zum nächstmöglichen Zeitpunkt eine/n
RWI – Leibniz-Institut für Wirtschaftsforschung
Description: Role Purpose: Support economic and financial analysis of utility networks by evaluating CAPEX, OPEX, lifecycle costs, and investment decisions to improve cost efficiency, resilience, and service performance. Key Responsibilities: Data Assessment: Identify data gaps, assess data quality, and recommend improvements for cost analysis. Benchmarking: Analyze CAPEX, OPEX, and maintenance costs; benchmark against international utilities; identify efficiency gaps. Techno-Economic Analysis: Evaluate Security of Supply Standards (SoSS), resilience, and service levels; assess cost vs reliability trade-offs. Value Engineering: Conduct lifecycle cost analysis; identify cost-saving design and material alternatives. Standards & Specifications: Perform cost-benefit analyses for new technologies and standards; support investment decisions. Digital Tools Support: Develop cost models and support investment prioritization tools. Qualifications: Bachelor’s degree in Finance, Accounting, Economics, or related field. Professional certifications preferred (e.g., CFA, CPA, or FMVA). Advanced degree (MBA / MSc Finance) desirable. Minimum 10 years of work experience. Experience in water, energy or infrastructure sectors preferred. Preferred Specifications: CAPEX/OPEX budgeting, forecasting, and variance analysis. Financial modelling and business case evaluation (ROI, NPV). Strong accounting knowledge (cost allocation, capitalization). Advanced Excel and ERP systems (e.g., SAP) proficiency. Data analysis and reporting (insight generation for decision-making). Stakeholder coordination with finance, engineering, and operations teams. Cost-benefit and investment analysis (NPV, IRR). About Stantec: We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary. The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us! Work Location(s): United Arab Emirates - Abu Dhabi Employment Type: Full-Time Job Type: Regular Job Category: Consulting APPLY NOW Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, color, religion, sex, national origin, age, marital status, genetic information, disability, protected veteran status, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with local, state and federal laws and regulations and ensures equitable opportunities in all aspects of employment.
Join Stantec as an Economic Analyst in Abu Dhabi to support economic and financial analysis of utility networks.
Researcher | Pre-/Post-Doc - Applied Microeconomics
The position is available from October 2026 for a period of four years, with the option of extension. A part-time arrangement is possible. Our research and teaching focus on the economic behaviour of firms and individuals in the context of globalisation, migration, and structural change. A central element of our research is the empirical analysis of economic phenomena based on large individual-level datasets. Your responsibilities will include: • teaching duties amounting to 4 hours per week during term time (Semesterwochenstunden) • your own research, comprising at least 50 percent of working time, in pursuit of further academic qualification (e.g. PhD or habilitation), publications • supporting the Chair's research activities as well as contributing to academic self-administration Your profile: • Master degree in economics or a related field • interest in and knowledge of applied microeconomics and international economics • interest in, and very good knowledge of, econometrics and the application of empirical methods • very good programming skills in R and/or Stata • very good command of spoken and written English • initiative, creativity, and strong analytical skills • a keen interest in research Desirable selection criteria • experience and expertise in working with individual-level and/or foreign trade data • experience in developing and implementing independent research ideas We offer: • attractive remuneration with financial stability, regular pay adjustments, and an annual special payment • occupational benefits (e.g. retirement provision through VBL, capital-forming benefits, job ticket) • collectively agreed annual leave plus non-working days on 24 and 31 December • flexible working arrangements and family-friendly working conditions • and much more… Please submit your application, quoting the above reference number, as a single PDF file by 20.09.2026 to: bewerbung@europa-uni.de (application data will be deleted without delay once the selection procedure has been completed). Questions regarding the position may be directed by e-mail to: geishecker@europa-uni.de. Interviews are expected to take place on Frankfurt (Oder) in early October 2026. Applications should be submitted digitally in English and include the following documents: a letter of motivation, a detailed curriculum vitae, academic transcripts and references, a list of publications where applicable, a sample publication (PDF), a research proposal outlining the development of a research project (max. 4 pages), and a proposed outline for one MA and one BA seminar related to the subject area of this position (title and a brief description of approx. 10 lines each). The Europa-Universität Viadrina Foundation is actively committed to diversity and equal opportunity among all its staff and pursues the goal of being a non-discriminatory institution that welcomes and protects people in their diversity within the university community. Further information can be found at: www.europa-uni.de/stellenangebote
Europa-Universität Viadrina is an internationally and interdisciplinarily oriented university located in the twin city of Frankfurt (Oder)-Słubice, on the German and Polish banks of the River Oder, where it educates around 4,000 students from all over the world. The university lives the European idea in its everyday practice and promotes European integration through teaching and research. With around 300 academic and 300 non-academic staff, it forms a community for which successful communication and cooperation with Eastern Europe are a particular concern. The Chair of Economics, in particular Applied Microeconomics at the Faculty of Business Administration and Economics invites applications for the position of Researcher | Pre-/Post-Doc Reference number 1201-26-01 (up to pay grade 13 TV-L, 40 hours/week)
The interdisciplinary B.Sc. Hons programme in Economics and Finance will help students to understand the principles of economics and its applications to financial systems and organisations. The department recommends that students complete mathematics in Classes 11 and 12 to be eligible for any economics-related major or minor. For students who have not studied mathematics in Classes 11 and 12 to be eligible for any economics-related major or minor, they need to: a) Take MAT 1000: Calculus (a 1000-level course) offered by the Mathematics department in their first semester and b) Secure at least an A- to be eligible Note, there may be an entry test requirement for MAT 1000 which will be set by the Maths department. Please check the mathematics department website for more details. In addition to quantitative techniques in mathematics and statistics, the curriculum will also include advanced financial techniques such as derivatives pricing, risk management and portfolio management. Finance Courses A sample of courses constituting the Finance electives is the following. Introduction to Finance Financial Markets and Asset Pricing Finance and the Economy Advanced Financial Management Financial Markets and Institutions International Finance Asset Pricing Derivatives and Risk Management Empirical Monetary Policy and Finance The list of economics and finance electives from recent semesters can be found here. Major Requirements Students admitted to Ashoka in 2022 and thereafter fall within the NEP Programs. Credit requirements for interdisciplinary majors are listed below. Four-year Economics and Finance UG degree (BSc Hons. degree) requires 20 major courses, each of 4 credits. The structure of the 20 courses is the following: 9 compulsory courses in Economics: these include — Introduction to Economics, Mathematics for Economics, Microeconomic Theory I, Macroeconomic Theory I, Statistics for Economics, Microeconomic Theory II, Macroeconomic Theory II, Econometrics, and Development Economics. Any 11 economics or finance electives, of which exactly 4 finance electives. In addition to this, one can do a BSc Honours with Research with an additional Dissertation of 12 credits. The exact breakdown of the year-long sequence will be announced after the university discussions by the end of the academic year 2024-25. Three-year Economics and Finance UG degree (BSc degree) comprises of 15 major courses, each of 4 credits. The structure of the 15 courses will be the following. The 9 compulsory Economics major courses include — Introduction to Economics, Mathematics for Economics, Microeconomic Theory I, Macroeconomic Theory I, Statistics for Economics, Microeconomic Theory II, Macroeconomic Theory II, Econometrics, and Development Economics. Any 6 economics or finance electives, of which at least 3 finance electives. Sample Curriculum Structure (For students admitted in 2022 and later) 4-year Economics and Finance major Semester I Semester II Semester III Semester IV Semester V Semester VI Semester VII Semester VIII Introduction to Critical Thinking Foundation Course 4 Foundation Course 6 Foundation Course 7 Foundation Course 8 Economics Elective 2 Economics Elective 4 Economics Elective 7 Foundation Course 1 Foundation Course 5 Statstics for Economics Econometrics Development Economics Economics Elective 3 Economics Elective 5 Finance Elective 4 Foundation Course 2 Introduction To Economics Microeconomics Theory I Microeconomics Theory II Economics Elective 1 Finance Elective 2 Economics Elective 6 Foundation Course 3 Mathematics for Economists Macroeconomics Theory I Macroeconomics Theory II Finance Elective 1 Finance Elective 3 The above table is only a sample curriculum structure. Blank boxes are for non-major courses. There could be other possibilities, e.g. taking the 7th Foundation Course in 6th semester and taking three Economics electives in the 5th semester. Please refer to the UG Handbook for overall degree requirements. 3-year Economics and Finance major Semester I Semester II Semester III Semester IV Semester V Semester VI Introduction to Critical Thinking Foundation Course 4 Foundation Course 6 Foundation Course 7 Foundation Course 8 Economics Elective 2 Foundation Course 1 Foundation Course 5 Statstics for Economics Econometrics Development Economics Economics Elective 3 Foundation Course 2 Introduction To Economics Microeconomics Theory I Microeconomics Theory II Economics Elective 1 Finance Elective 2 Foundation Course 3 Mathematics for Economists Macroeconomics Theory I Macroeconomics Theory II Finance Elective 1 Finance Elective 3
The interdisciplinary B.Sc. Hons programme in Economics and Finance will help students to understand the principles of economics and its applications to financial systems and organisations.
Doctoral Fellowship in Macroeconometrics – Ghent University, Belgium
Topic The project is situated at the intersection of macroeconometrics and time series analysis and focuses on the statistical properties of local projection methods for estimating impulse responses. Impulse response analysis plays a central role in modern macroeconomics, yet widely used estimation methods face important challenges in finite samples and in environments with highly persistent or non-stationary data. This PhD project studies the bias, consistency, and inference properties of local projection estimators in both time series and panel data settings. The research will contribute to the development of bias-corrected estimators and robust inference procedures, with the goal of strengthening the theoretical foundations of impulse response analysis in applied macroeconomics. Role and responsibilities The successful candidate will carry out independent, high-level research within this project, in close interaction with the promoter and international collaborators. Your main tasks include: Conducting a thorough review of the theoretical and empirical literature in macroeconometrics and time series analysis. Developing analytical results on the asymptotic and finite-sample properties of local projection estimators. Designing and implementing Monte Carlo simulations to assess estimator performance. Writing high-quality academic papers for submission to leading international journals. Presenting research results at international conferences and workshops. In addition to research activities, the PhD student may be involved in limited educational support activities, for example assisting with specific course-related activities or co-supervision of bachelor's or master's theses related to the project, in accordance with the regulations for doctoral fellows. Job profile We are looking for a highly motivated and analytically strong candidate with the following qualifications: You have (or will obtain shortly) a master's degree in Economics, Econometrics, or a closely related field. You have a strong background in econometrics and macroeconomics. You have a pronounced interest in theoretical and methodological research. You are comfortable with mathematical derivations and quantitative analysis. Experience with numerical simulations and programming (e.g. MATLAB, R, or Python) is an asset. You are able to work independently and have strong communication skills. You are fluent in English, both written and spoken. Our offer We offer a full-time position as a doctoral fellow, consisting of an initial appointment of 12 months, which—after a positive evaluation—will be extended to a total maximum of 48 months. The doctoral fellowship amounts to 100% of the net salary of an AAP member in equal family circumstances, in accordance with the Ghent University salary scales (approx. 2,650–3,000 EUR net/month). A fellowship that meets the conditions of the doctoral fellowship regulations is exempt from personal income tax. In addition to the monthly stipend, fellows receive a holiday bonus (paid in June) and a year-end bonus (13th month), both in line with Ghent University's AAP salary scales. All Ghent University staff members enjoy a comprehensive benefits package, including extensive training and career development opportunities, 36 days of annual leave for a full-time position (supplemented by fixed bridge days), a bicycle allowance, and eco vouchers. The position offers the opportunity to conduct research in an international and intellectually stimulating academic environment at the Department of Economics in Ghent. Ghent University consistently ranks among the top universities worldwide. Ghent is a vibrant and welcoming city in the heart of Europe, offering a high quality of life and a rich cultural scene. How to apply Applications should be sent by email to: Prof. Gerdie Everaert gerdie.everaert@ugent.be Department of Economics, Ghent University https://www.ugent.be/eb/economics/en Applications should include: An academic CV. A motivation letter. A reference letter. Transcripts of academic records. A brief overview of previous research experience (e.g. master's thesis or research projects). Application deadline: Applications are reviewed on a rolling basis; early application is encouraged. The position remains open until filled. Starting date: Flexible, ideally as soon as possible; the exact starting date is negotiable with the successful candidate.
The Department of Economics at Ghent University is seeking a highly motivated PhD student to join an FWO-funded research project in theoretical macroeconometrics, under the supervision of Prof. Gerdie Everaert. The project studies the bias, consistency, and inference properties of local projection methods for estimating impulse responses in time series and panel data settings.
Department of Economics, Ghent University
We are looking for a highly motivated and analytically strong candidate who: Has (or will shortly obtain) a European master's degree in Economics, Econometrics, or a closely related field. Has a strong background in econometrics and macroeconomics. Has a pronounced interest in theoretical and methodological research. Is comfortable with mathematical derivations and quantitative analysis. Has experience with numerical simulations and programming (e.g. MATLAB, R, or Python) — an asset, not a requirement. Is able to work independently and has strong communication skills. Is fluent in English, both written and spoken.
49th RSEP International Conference on Economics, Finance and Business
49th RSEP International Conference on Economics, Finance and Business Date: 18-20 November 2026 Location: New York, USA This conference organized by RSEP in collaboration with "Journal of Risk and Financial Management". Selected papers (not all), after peer-review process, will be published in the special issue of "Journal of Risk and Financial Management" free of charge. "Journal of Risk and Financial Management" indexed by SCOPUS (Q1). Some Proceedings of RSEP Conferences have been included in the Web of Science™ Core Collection, Conference Proceedings Citation Index, Thomson Reuters/Clarivate Analytics. Conference proceedings indexed by Google Scholar, RePEc & Econlit. CALL FOR PAPERS RSEP invites the papers included thematic studies and presentations to the "49th RSEP International Conference on Economics, Finance and Business", which will be held on 18-20 November 2026 in New York, United States. The main topics of the conference are focused on, but not limited to, the following titles: Accounting Behavioral Finance Corporate Finance/Governance Econometrics Economics of Innovation Education/Education Economics Environmental Economics Emerging Economies Energy Studies Entrepreneurship Financial Economics Gender Economics Health Economics Human Resources Industrial Organization International Economics and Trade International Finance Investment Islamic Economics/Finance Knowledge Economics Labor Economics Growth & Development Macroeconomics Management Microeconomics Marketing Monetary Economics Political Economy Public Economics Regional Studies Risk Management Small and Medium-Sized Enterprises (SME) Tax Policies Tourism/Tourism Economics CONFERENCE WILL BE HELD IN-PERSON Note: Participants who do not have the opportunity to attend face to face can connect to the room via Zoom online/live. Deadlines Abstract Submission Deadline: November 10th, 2026 Full Paper Submission Deadline (Optional): November 30th, 2026 Deadline of early registration: September 1st, 2026 Deadline of registration: November 12th, 2026 If you miss the deadline, please contact us by e-mail. Conference schedule Wednesday, November 18, 2026 - On-site/In-person 8.00 am - 4.00 pm Registration 8.30 am – 10.30 am Session-I 10.30 am – 10.45 am Coffee break 10.45 am – 11.30 am Session-II /Keynote Session 11.30 am – 1.30 pm Session-III 1.30 pm - 2.30 pm Lunch / Hosted by RSEP 2.30 pm - 4.30 pm Session IV 4.30 pm - 4.45 pm Coffee break 4.45 pm - 7.00 pm Session V Thursday, November 19, 2026 - Online 09.00 am – 4.00 pm Session VI /Online Session Friday, November 19, 2026 - Online 09.00 am – 4.00 pm Session VI /Online Session Conference Venue NYC Seminar and Conference Center Address: 114 W 26th St 3rd Floor, New York, NY 10001, United States
RSEP invites papers for the 49th International Conference focusing on various economic and financial topics.
Review of Socio-Economic Perspectives (RSEP)
Economic Development, Innovation and Growth (JEL O)
Macroeconomics and Monetary Economics (JEL E)
Urban, Rural and Transportation Economics (JEL R)
The Joint Research Centre (JRC) provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society. The JRC is located in 5 Member States (Belgium, Germany, Italy, the Netherlands and Spain). Further information is available at https://joint-research-centre.ec.europa.eu/index_en The current vacancy is in the Fiscal Policy Analysis Unit of Directorate B for Fair and Sustainable Economy. The mission of Directorate B is to provide top-class analysis and data to support the EU’s aim for today’s and tomorrow’s Europeans to enjoy fair and sustainable prosperity. It takes a systemic view of the relationships between economic activities, the environmental impacts of human activities and the societal needs of the EU’s citizens. Directorate B develops and carries out economic analysis and supports policy making with its unique analytical and modelling tools. It boosts EU innovation-driven competitiveness in the global context, turning territorial diversity and urban-rural interactions into value. It drives European markets, industry and services, including construction and the built environment, towards environmental sustainability. The Unit “Fiscal Policy Analysis” provides modelling support and research in the area of taxation and social benefits. Its aim is to contribute to evidence-based fiscal policies that enable the attainment of the economic, social and environmental objectives of the EU. To fulfil its mission, the Unit maintains, updates and develops state-of-the art tools, and provides evidence for policy making in the area of taxation and social protection in alignment with the European Commission priorities. The main purpose of this job is to carry out research and provide policy analysis in the area of taxation, with a particular focus on consumption taxes, including the fight against tax fraud and tax evasion. The role involves developing, maintaining and applying the unit’s economic models and methods to assess the impacts of tax policy reforms (in particular VAT and other consumption taxes), as well as tax fraud and tax evasion. What the job entails The successful candidate will contribute to the development of the unit’s economic modelling approaches and to the management, analysis and interpretation of relevant datasets to support evidence-based policymaking in the area of consumption taxation. The job involves providing analytical support to EU policymaking by developing/applying the unit´s tax models, and by analysing relevant data in order to inform European strategies and policy design. The work will cover key policy areas, including in relation to consumption taxes, the fight against tax fraud and tax evasion. The main tasks include: • scientific and policy-oriented research on the economic and fiscal impacts of tax systems and reforms, including tax revenues and distributional effects. • development and application of micro-modelling tools (including microsimulation and econometrics). • manage and exploit large micro-data (including administrative datasets) to analyse consumption tax systems, including the tax treatment of cross-border transactions. • analyse and synthesise results, translating technical findings into policy-relevant outputs and providing scientific and technical support to the EU policy-making process. What we offer The job is based in a dynamic and multicultural environment, within highly qualified teams of experienced economic modellers and analysts working across several areas of tax and social policy and developing and applying a wide range of analytical tools. The JRC actively encourages interaction with policy makers, academics and other leading stakeholders in the field, including participation in national and international conferences, workshops and expert meetings. What we are looking for The candidates must have an academic/professional background in economic analysis. In particular, candidates must have a minimum of 5 years of relevant professional experience in quantitative economic analysis, including the application of economic modelling techniques and quantitative data analysis. Additional assets of the sought candidate: • Solid background in one or several of the following fields: economic analysis of taxation, direct and indirect tax policies, and micro-level data management and analysis. • A track record of research and publications in the area of tax policy. • Ability to formulate clear policy conclusions based on solid analytical work and proven ability to draft • Excellent interpersonal skills and ability to collaborate effectively with teams and integrate ideas from diverse sources. As English is the main working language, the candidate should have a very good level and be able to speak, read and write in this language. Indicative duration and salary 36-months initial contract with possible renewals up to maximum 6 years. Salary will be calculated according to the Staff regulation conditions for Contract Agent Function Group IV. The approximate basic gross monthly salary varies from 4.449,31 - 6.444,59 € (applicable as of 1st of July 2025). For more detailed information please consult: Working Conditions Rules & Eligibility If you are already on a valid CAST FG IV reserve list, or you have already applied to one of the calls below, you can directly submit your application at https://recruitment.jrc.ec.europa.eu/vacancies If not, before applying to this position, you must register for one of the two following: • the Call for Expressions of Interest | EU Careers (europa.eu) (CAST Permanent FG IV), which is used by a wide range of organisations (institutions, bodies, offices and agencies of the European Union), or • the specialised call for researchers (JRC Call COM/1/2015/GFIV – Research), which is mainly used by the JRC. Note that each of the calls above has different minimum eligibility requirements and different selection tests. Due to the high number of applications usually received, only shortlisted candidates will be contacted. The JRC cultivates a workplace based on respect for other people and the environment, and embraces non-discriminatory practices and equality of opportunity. In case of equal merit, preference will be given to the gender in minority. APPLICATION and full details on the open call are available at: https://recruitment.jrc.ec.europa.eu/vacancy/3068 Deadline: 13/09/2026 Position reference: 2026-JRC.B.2-SVQ-FGIV-003067
The European Commission's Joint Research Centre is looking for an Economic Analyst – Tax Modelling to join its Unit "Fiscal Policy Analysis” based in Seville, Spain.
Joint Research Centre of the European Commission
Destry Damayanti nominated as Indonesia Central Bank Governor
Minister of State Secretariat, Prasetyo Hadi, announced that President Prabowo Subianto has nominated Destry Damayanti as the sole candidate to lead Indonesia’s central bank, Bank Indonesia. Having been appointed last week acting governor, and only a few weeks after her reappointment as deputy governor, Damayanti is set to replace Perry Warjiyo, who recently stepped down for personal reasons, marking a historic first resignation of a governor from the central bank. During a press conference held at the Presidential Palace, Minister Prasetyo confirmed that the President had submitted a presidential letter about Damayanti's nomination to the House of Representatives (DPR). As per the process, members of the DPR will conduct a fit-and-proper test to evaluate her candidacy. "So, there is only one name, namely Ms. Destry Damayanti," Prasetyo stated. The DPR is expected to formally announce the government’s proposal regarding Damayanti’s nomination on Tuesday, August 11, 2026. As of the latest updates, the House had yet to comment on the nomination but is scheduled to announce it publicly. Destry Damayanti is an accomplished economist, having served as the Senior Deputy Governor of Bank Indonesia since 2019. With a background in various financial institutions and her role in the Indonesia Deposit Insurance Corporation, she is well-prepared for this pivotal position within the country’s monetary system. You can see her profile on the Bank Indonesia website.
President Prabowo Subianto has put forth Destry Damayanti as the singular candidate for the Governor of Bank Indonesia, following the resignation of Perry Warjiyo.
Melisa Williams Higgins is a Lecturer in Economics at the University of Bristol. Alongside her research in health economics, her scholarship focuses on economics education, student engagement, belonging and academic support in higher education. She is a Senior Tutor in the School of Economics, providing leadership for student support and personal tutoring, and the Academic Director of Bristol Black Associates, a university-wide programme that supports Black heritage students' academic success, professional development and sense of belonging. Beyond Bristol, she is Co-convenor of the International Health Economics Association's Teaching Health Economics Special Interest Group, where she collaborates with colleagues from around the world to advance health economics education through the exchange of ideas, resources and effective teaching practice. UoB page: Melisa Williams Higgins — University of Bristol Personal website: Melisa Williams Higgins (google.com)
Melisa Williams Higgins is a Lecturer in Economics at the University of Bristol. Alongside her research in health economics, her scholarship focuses on economics education, student engagement, belonging and academic support in higher education.
TU Dortmund University is a dynamic research-oriented university with 17 departments in the natural and engineering sciences as well as social and cultural sciences. On our international campus, around 6,700 employees make a daily contribution to solving pressing questions of the present and the future. Openness and diversity characterize not only the collaboration in research and teaching, but also in technology and administration. PhD Position in urban economics The Chair of Urban, Regional and International Economics at the Department of Business and Economics at TU Dortmund University conducts teaching and research at the interface between economics and spatial planning. This encompasses topics relating to economics in urban and regional contexts. In terms of content, we work primarily with empirical, quantitative data on topics such as international trade, innovation, transformation and urban research. To strengthen our team, we are seeking a research assistant to support teaching and research, starting October 1st 2026. The position is to be filled with a fixed-term basis for a period of three years. Remuneration will be in accordance with the collective agreement provisions for pay grade 13 (TV-L). This is a 75% fulltime equivalent. YOUR RESPONSIBILITIES: Conducting research in the field of Urban, Regional and International Economics, covering subtopics such as international trade and regional economics, in the context of innovation, transformation and sustainability Securing and managing research projects and publishing research output in the above-mentioned field Designing, preparing, supervising and teaching courses at the Faculties of Business and Economics and Spatial Planning (3 SWS) WE OFFER: A pleasant working atmosphere within a dynamic team A challenging role in a research-intensive environment with opportunities for international exchange and a clear thematic focus Structured support for publications, conference participation and further academic qualifications (PhD) A wide range of opportunities for personal development Initiative and strong communication skills Willingness to work on an interdisciplinary manner The opportunity to pursue a PhD is given and strongly encouraged REQUIREMENTS: A completed degree (Masters/Diploma) in Economics, Spatial Planning or related field Very good knowledge of quantitative research methods or a strong willingness to familiarise with these Confidence in conducting empirical research and programming-knowledge in e.g. R/STATA/Python is an advantage Very good written and spoken German or English TU Dortmund University aims at increasing the percentage of women in science and therefore encourages women to apply. Disabled candidates with equal qualifications will be given preference. Applications, including a curriculum vitae, copies of degree certificates and names and contact details of references, should be sent – stating the reference no. w45-26 to the following address by at the latest: Sept. 1st, 2026. Technische Universität Dortmund Prof. Christiane Hellmanzik, PhD, Urban, Regional and International Economics 44221 Dortmund For queries please contact Prof. Christiane Hellmanzik via: christiane.hellmanzik@tu-dortmund.de
To strengthen our team, we are seeking a research assistant to support teaching and research, starting October 1st 2026.
Purdue University Approves Four New Professorships in Economics and Business
On August 7, 2026, the Purdue University Board of Trustees met to approve several key appointments and recognitions: Brian Dineen as the Frederick and Alice Leeds Professor David Hummels as the Marshall and Susan Larsen Chair Ting Zhu as the Jack A. Hockema Chair in Business Martin Dufwenberg as Distinguished Professor of Economics Further appointments were made in the fields of engineering, health and education, as well as new athletics leadership. Brian Dineen - Appointed to the Frederick and Alice Leeds Professor Dineen came to Purdue in 2013 as an associate professor of management, later rising to department head for Organizational Behavior and Human Resource Management. His research focuses on issues related to recruitment, job search and employee retention. More specifically, he investigates factors that influence the quality of initial applicant pools in organizations, including recruitment message orientation and mass customization, as well as job seeker search strategies. The Frederick and Alice Leeds Professor of Management was established in 1990 by the estate of Alice Cole Leeds. This fund provides for an endowed professorship in the Mitch Daniels School of Business. David Hummels - Appointed to the Marshall and Susan Larsen Chair Hummels came to Purdue in 2000 as an assistant professor, advancing to the rank of Distinguished Professor of Economics. He previously served as the Dr. Samuel R. Allen Dean of the Mitch Daniels School of Business. Hummels’ research focuses on a range of issues in international trade, including offshoring and its impact on labor markets; product differentiation; barriers to trade; and the broader impacts of aviation, infrastructure and trade facilitation on trade and economic development. Most recently, his work has centered on labor market issues, including executive compensation, the intersection between worker health and labor markets, and the economics of higher education. Hummels’ honors and awards include an Outstanding Innovation in Graduate Teaching recognition and an Excellence in Executive MBA Teaching honor from Purdue, several grants, and other recognitions. The Marshall and Susan Larsen Chair was established in 2026 for an internationally recognized economist with a preference for research focused on international trade. Ting Zhu - Appointed to the Jack A. Hockema Chair in Business Zhu joined the faculty at Purdue in 2016 as an associate professor of marketing. She currently serves as the department head of Marketing in the Mitch Daniels School of Business and the Jack A. Hockema Term Chair in Business. Her teaching experience and interests lie in new product management, marketing analytics, consumer behavior, customer relationship management and pricing. Her publications and research interests focus on entry models, consumer choices, retail competition, pricing, new technology adoption, and health and sustainability in marketing. Zhu serves on the editorial boards of Marketing Science and Quantitative Marketing and Economics. Martin Dufwenberg - Appointed as Distinguished Professor of Economics Dufwenberg joined the faculty at Purdue in 2025 as a professor of economics. His research uses game theory and experiments to incorporate insights from psychology into economic analysis. Much of his work develops and applies a formal framework called psychological game theory, which is useful for modeling emotions, reciprocity, social norms and image concerns. His publications have appeared in many scientific outlets, including Econometrica, American Economic Review, Neuron, The Review of Economic Studies, Journal of Economic Theory, Games and Economic Behavior, and more. Dufwenberg currently serves on the editorial boards of the Journal of the Economic Science Association and Experimental Economics. His honors and awards include being named an Economic Theory Fellow as well as receiving an honorary doctorate at the University of Gothenburg, the Erik Malmsten Visiting Professorship Award, the Royal Economic Society Prize and more. Read more about the appointments in the Press Release on the purdue.edu website.
The Purdue University Board of Trustees approved multiple named professorships and deanships, including four in economics and business fields.