We have a fantastic opportunity for a Senior Business Data Analyst to join our Group Data and AI Office (GDAIO) Team at Royal London. The Senior Business Data Analyst plays an important role in supporting data-informed decision-making within GDAIO. This position will help shape complex data analysis projects, develop analytical approaches, and provide meaningful insights to support business decisions. The role combines analytical expertise with collaborative project delivery, supporting high standards of data quality, accuracy, and integrity across the organisation. The Senior Business Data Analyst will support value-chain mapping of data, interpret system performance metrics, agile team performance data, and financial data, and help check and challenge GDAIO involvement in key initiatives based on return on investment. This role is important in developing and refining processes that turn complex datasets into actionable business intelligence and support better outcomes in the financial services market. Working closely with Data Engineering teams, Business SMEs, Business Sponsors and Senior Leadership, the Senior Business Data Analyst will analyse complex data ecosystems, translate findings into practical recommendations with the Head of Data Strategy and the Head of Data Architecture, and support project teams to align with organisational objectives. This role combines hands-on analysis with collaborative leadership, particularly during complex analysis or key project definition phases. More about the role: Shape and deliver complex data methodologies and analysis projects, developing analytical approaches that support business priorities Support the optimisation and phasing of data sourcing to the Enterprise Data Model (EDM) Evaluate important business processes and identify data-driven improvement opportunities Develop thoughtful analytical solutions to help address complex business challenges Provide clear insights to cross-functional teams and senior stakeholders based on advanced data analysis Help ensure analytical outputs align with business strategies and regulatory requirements Support data quality assessments, migrations and improvement initiatives Coordinate the delivery of high-impact analytical projects, helping ensure timely completion and effective use of resources Role model Royal London values across the GDAIO and broader organisation Support and coach junior Business Data Analysts, helping them build confidence and access development opportunities such as roundtables and conferences Encourage the use of data-driven decision-making practices across the organisation Contribute to initiatives that improve data literacy and analytical capability across business areas What you will bring to the role: Experience in data analysis and modelling, ideally within financial services or another regulated environment Experience delivering analytical projects with multiple stakeholders or interdependencies, especially migrations Knowledge of Agile ways of working and how they can support analytical delivery Good understanding of data lifecycle management and governance Practical experience with data visualisation tools, SQL, cloud-based data platforms, or statistical software Strong analytical and problem-solving skills, with the ability to turn complex data insights into clear business recommendations Good organisational skills, including the ability to balance priorities and support effective delivery Collaborative stakeholder management skills, with the ability to build effective relationships across different teams and levels of the organisation We know that everyone’s experience looks different. If you’re excited about this role and think you could make a positive impact in our data team at Royal London, we’d love to hear from you -even if you don’t meet every requirement. About Royal London We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. Inclusion, diversity and belonging We’re an inclusive employer. We celebrate and value different backgrounds, perspectives and experiences across Royal London. We welcome applications from people of all backgrounds and are committed to creating a workplace where everyone can feel included, respected and able to thrive.
Join the Group Data and AI Office (GDAIO) Team at Royal London as a Senior Business Data Analyst and support data-informed decision-making within the organization.
Senior Assistant in the scientific field of Social Sciences, field of Economics
Offer Description The University of Zagreb, Faculty of Economics and Business invites applications for the following position: One Senior Assistant (fixed-term position) Scientific field: Social Sciences Scientific discipline: Economics Department: Department of Managerial Economics Employment type: Full-time Contract duration: Fixed-term for four (4) years Eligibility Criteria Applicants must meet the requirements prescribed by the Act on Higher Education and Scientific Activity (Official Gazette No. 119/22) and the Statute of the Faculty of Economics and Business, University of Zagreb. Salary The salary is determined in accordance with the Act on Salaries in Public Services (Official Gazette No. 155/23), the Regulation on Job Titles, Classification Requirements and Salary Coefficients in Public Services (Official Gazette No. 22/24), and other applicable legislation governing employment in Croatian public institutions. The salary coefficient for the position of Senior Assistant is 2.55. The gross salary is calculated by multiplying the prescribed coefficient by the salary base established by the Government of the Republic of Croatia and includes statutory supplements, including a 0.5% seniority allowance for each completed year of service, together with other employment-related rights provided by law and applicable collective agreements. Required Application Documents Applicants are required to submit the following documents: a signed application clearly stating the position applied for; curriculum vitae (CV); proof of the required academic qualification and academic degree; list of scientific publications and professional works; proof of Croatian citizenship or citizenship of another country; applicants who are not Croatian citizens must additionally provide proof of Croatian language proficiency at minimum B2 level according to the Common European Framework of Reference for Languages (CEFR). Documents issued in a foreign language should be accompanied by an official translation into Croatian or English where applicable. Selection Procedure To assess whether applicants meet the formal requirements and to evaluate their professional knowledge, skills and competencies, the Faculty reserves the right to conduct one or more stages of the selection procedure, including: interview; written assessment; oral assessment; foreign language proficiency test; other appropriate evaluation methods. Only shortlisted candidates will be invited to participate in the selection process and will be informed in due course. Equal Opportunities and Priority in Employment The University of Zagreb, Faculty of Economics and Business is committed to equal opportunities in recruitment. Applicants who exercise priority rights in employment under Croatian legislation concerning: Croatian Homeland War veterans and members of their families; Civilian victims of the Homeland War; Persons with disabilities, must indicate this in their application and submit all supporting documentation prescribed by the relevant legislation. Where all statutory conditions are met, eligible applicants exercising priority rights shall receive preference under equal conditions in accordance with Croatian law. Application Procedure Applications must be submitted within 30 days from the publication of this vacancy in the Official Gazette of the Republic of Croatia (Narodne novine). Applications should be submitted electronically with the subject line: "Application – Senior Assistant, Department of Managerial Economics" to: urudzbeni@net.efzg.hr Late or incomplete applications will not be considered. Data Protection Personal data collected through the recruitment procedure will be processed solely for the purpose of conducting the selection procedure and selecting the successful applicant, in accordance with: Regulation (EU) 2016/679 (General Data Protection Regulation – GDPR); the Croatian Act on the Implementation of the General Data Protection Regulation; other applicable data protection legislation. Personal data will be processed only to the extent necessary for the recruitment procedure and retained in accordance with the applicable regulations governing data protection and archival records. Applicants may at any time request restriction of processing or deletion of their personal data by contacting: szop@efzg.hr Notification of Results The outcome of the selection procedure will be published on the official website of the Faculty of Economics and Business, University of Zagreb. Where to apply E-mail Website: http://www.efzg.unizg.hr
The University of Zagreb, Faculty of Economics and Business invites applications for the position of Senior Assistant.
University of Zagreb, Faculty of Economics and Business
Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
The creation of spatial maps has become a valuable tool for researchers interested in both the spatial data visualization and the identification of geographical patterns in the data. This interactive course therefore, offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The workshop opens with an overview of the peculiar characteristics of geospatial data, the implications of such for the analysis of such data and an overview of the special terminology used in this field, before moving on to discuss the concept of spatial proximity and its relevance to the visualization of spatial data analysis. The remainder of the workshop is dedicated to the principle mapping techniques, using a combination of both official Stata commands and a series of user written commands, currently adopted to visualize geospatial data in Stata. Participants will learn how to import geospatial data shapefiles in Stata and merge them with their existing Stata databases in order to create, compare and customize different mapping techniques. At the end of the course, participants will be able to autonomously implement (with the help of the Stata routine templates specifically developed for the workshop) the appropriate mapping methods, given both the nature of their spatial data and the analysis in hand, within their own research. TARGET AUDIENCE This online course is of particular interest for criminologists, social psychologists, sociologists, economists, epidemiologists and political scientists seeking to acquire the requisite tools required for the exploration and visualisation of spatial data in Stata. PREREQUISITES A knowledge of basic statistics (distributions of variables, position indices, dispersion indices) and the statistical software Stata is recommended. PROGRAM SESSION I: SPATIAL DATA 1. General characteristics of spatial data 2. Types of spatial objects 3. Spatial coordinate systems 4. Maps and shapefiles 5. The transformation of spatial databases SESSION II: SPATIAL PROXIMITY 1. Spatial distance 2. Spatial proximity matrices 3. Spatial lags 4. Spatial autocorrelation SESSION III: VISUAL ANALYSIS OF SPATIAL DATA 1. Visual analytics and data science 2. Thematic maps 3. Dot maps 4. Graduated symbol maps 5. Diagram maps 6. Choropleth Maps 7. Isarithmic Maps 8. Multivariate Maps SUGGESTED READING Anthamatten, P. (2021). How to Make Maps: An Introduction to Theory and Practice of Cartography. Abingdon: Routledge. Lambert, N. & Zanin, C. (2020). Practical Handbook of Thematic Cartography: Principles, Methods, and Applications. Boca Raton, FL: CRC Press. DATE AND LOCATION The next edition of this training course will be offered online on a part-time basis on the 30th of September from 9:00 am to 1:30 pm CET. COURSE LEADERS Professor Maurizio Pisati, University of Milano-Bicocca, Department of Sociology and Social Research, Milan (IT). REGISTRATION FEE AND REGISTRATION FORM Full-time Students*: € 155 Ph.D. Students: € 205 Academic: € 370 Commercial: € 495 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. Register Here The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: I) teaching materials – copies of lecture slides, databases and Stata programs specifically developed for the course; ii) a temporary licence of StataNow™ valid for 30 days from the day before the course commences. Individuals interested in attending this course must return their completed registration forms by e-mail to TStat by the 20th of September 2026.
This interactive online course offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The next edition of this training course will be offered online on a part-time basis on the 30th of September.
Econometrics, Statistics and Quantitative Methods (JEL C)
Urban, Rural and Transportation Economics (JEL R)
Professor Jingjing Zhang Appointed Head of School of Economics at University of Sydney
Previously serving as Professor of Economics and Head of the Department of Economics at RMIT University, Professor Zhang is an internationally recognized expert in experimental and behavioral economics. Her work focuses on enhancing decision-making processes, institutional frameworks, and social outcomes through innovative economic strategies. She started in her new position at the University of Sydney on 15 July 2026. Professor Zhang has cultivated a global research profile, securing over $1.6 million in competitive research funding from prestigious institutions, including the Australian Research Council and the U.S. National Science Foundation. Her findings have been published in leading journals such as Management Science and The Economic Journal, demonstrating her strong influence in the field of economics. A strong emphasis of Professor Zhang’s research is on practical policy engagement. Her contributions have helped shape significant areas such as spectrum auction design for regulatory authorities, digital consumer practices, and electoral designs aimed at promoting democratic engagement. Professor Zhang expressed her enthusiasm about joining the University of Sydney, noting its strategic position for interdisciplinary engagement between economics and other fields. Professor Lisa Adkins, Dean of the Faculty of Arts and Social Sciences, warmly welcomed her appointment, expressing confidence in her capacity to elevate the School's contribution to research and education. For further details, you can visit the official page.
The University of Sydney has announced the appointment of Professor Jingjing Zhang as the new Head of the School of Economics. A respected figure in economics, Professor Zhang aims to enhance research excellence and interdisciplinary collaboration within the school.
Tenure Track Professor (W1) of Communication: Communicator Research
The Junior Professorship represents the field of communicator research in research and teaching. The position’s research profile focuses on professional actors, processes, and structures involved in the production of public communication, as well as the economic, technological, and societal conditions shaping these processes (e.g., platformization, artificial intelligence). In addition to established journalistic and strategic communicators (public relations, advertising, marketing), the professorship addresses peripheral and hybrid actors (e.g., content creators, forms of PR journalism). Candidates are expected to demonstrate an emerging research profile through relevant publications in the aforementioned areas of communicator research, ideally adopting an integrated and/or economic perspective. Evidence of, or strong potential for, success in attracting competitive third-party funding is required. A willingness to engage in collaborative research initiatives and to build and maintain partnerships with practitioners is considered advantageous. The teaching load is four contact hours per week. The successful candidate will teach in German and English in the Bachelor’s and Master’s programs in communication studies, as well as in selected programs within the Faculty of Business and Economics. The appointee is expected to develop an English-language specialization track in “Corporate Communication” within the Bachelor’s communication program. For international applications, the successful candidate is expected to acquire German language skills within a reasonable period of time. The position offers attractive conditions for tenure-track appointees. This professorship is particularly suitable for highly qualified early career researchers. The requirements for an appointment are a completed university degree, pedagogical suitability and a doctorate of outstanding quality. The University of Hohenheim is certified with the seal of approval for fair and transparent appointment procedures by the “German Association of University Professors and Lecturers” (DHV). Applicants are requested to take into account the appointment criteria set out in the university's appointment guidelines, as these are also taken into account in the selection of candidates in the appointment procedure. If the requirements for civil service are met, the appointment will be a temporary civil service position for six years. After six years, the applicant may be appointed to a W3-position if the requirements described in the University’s quality assurance guidelines are met. The appointment to a W3-position may be done without any additional call for applications and through a simplified appointment process. There is no interim evaluation. If the candidate possesses sufficient academic qualifications, the qualification phase may be reduced by up to two years upon request. More information on quality assurance and evaluation is available at https://www.uni-hohenheim.de/en/appointment-principles. With equal qualifications, preference will be given to candidates with disabilities. The University of Hohenheim seeks to increase the proportion of women in research and teaching and therefore strongly encourages female scientists to apply. Please attach the following documents to your application: a cover letter, a statement of your future research interests, a curriculum vitae, transcripts of records and degree certificates, a list of publications, a list of third-party funded projects, a teaching record, information on teaching evaluations as well as three key publications. Please apply online at https://berufungsportal.uni-hohenheim.de/ by 9 September 2026. Questions regarding the position may be directed to Mr. Prof. Dr. Jens Vogelgesang (j.vogelgesang@uni-hohenheim.de).
The Faculty of Business, Economics and Social Sciences invites applications for the position of a Tenure Track Professor (W1) of Communication: Communicator Research at the Institute of Communication Studies to be filled in the summer semester 2027. This is a grade W1-professorship for which recruitment payments can be offered.
Faculty of Business, Economics and Social Sciences, University of Hohenheim
Senior Assistant Position at Josip Juraj Strossmayer University
Offer Description Invitation for the election of one male/female employee to the associate employment position – Senior Assistant in the scientific area of Social Sciences, scientific field of Economics for a fixed term, in full-time. Where to apply Website for application Requirements Research Field: Economics Education Level: PhD or equivalent Languages: CROATIAN Level: Excellent Research Field: Economics Years of Research Experience: None Additional Information Website for additional job details Work Location(s) Number of offers available: 1 Company/Institute: Josip Juraj Strossmayer University, Faculty of Economics and Business in Osijek Country: Croatia City: Osijek Postal Code: 31000 Street: Trg Ljudevita Gaja 7
Invitation for one male/female employee to the associate employment position – Senior Assistant in the scientific area of Social Sciences, scientific field of Economics.
Multidisciplinary & Independent studies * Accounting * Arts * Business & Enterprise * Culture, Heritage, Art * Demography & Population * Economics * Environment * European Union * Education * Entrepreneurship * Finance * Food, Gastronomy & Tourism * Health, Safety & Security * International Business * Language * Management * Marketing * Philology & Language Studies * Social Business * Social Sciences * Tourism * Teaching Globalization Studies Contemporary Discussions/Issues in Social Science All papers & abstracts will be published in the Conference Proceedings with ISBN. Both with on-site and virtual participation.
MIRDEC 27th Barcelona 2026 Conference International Academic Conference - ONSITE & ONLINE CONFERENCE Economics, Business and Contemporary Discussions in Social Science
Masters International Research and Development Center
Economic Development, Innovation and Growth (JEL O)
Macroeconomics and Monetary Economics (JEL E)
Agricultural and Environmental Economics (JEL Q)
Public Economics & Economic Policy (JEL H)
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
Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
Description Teach undergraduate online courses in economics and personal financial literacy. Position Information Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources. An Institution of Opportunity: YSU inspires individuals, enhances futures, and enriches lives. As a student-centered university, Youngstown State University’s mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures, and enrich lives. YSU inspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU’s culture of enrichment flourishes in our intellectually diverse, accessible, and quality education. Work Schedule: Typically, Monday through Friday. Teaching assignments will be courses online. Qualifications and Competencies Required Certifications, Training, and/or Licensures: None. Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full-time basis. Minimum Qualifications: At least an earned master’s degree in economics or a related field; at least three years of professional field experience in economics; must be currently authorized to work in the United States on a full-time basis. Preferred Qualifications: Professional certification(s) in economics or finance. Prior teaching experience. Physical Requirements: In accordance with the U.S. Department of Labor physical demands strength ratings, this position will perform sedentary work. Sedentary: work involves exerting up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs may be defined as Sedentary when walking and standing are required only occasionally, and all other Sedentary criteria are met. Supplemental Information Please upload all transcripts as one PDF file. At time of hire, all candidates must provide official transcripts. Official transcripts must be provided in an unopened, sealed envelope and must bear the embossed or raised college seal, date and Registrar’s signature. Employer Youngstown State University (OH) Address: 1 Tressel Way, Youngstown, Ohio, 44555 Phone: 330-941-1508 Website: http://www.ysu.edu
Teach undergraduate online courses in economics and personal financial literacy at Youngstown State University.
W2 University Professorship (f/m/d) in Economics, with a focus on Sustainability
Paderborn University is a high-performance and internationally oriented university. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and actively transfer knowledge into society. As an important research and cooperation partner, the university also shapes regional development strategies. We offer our employees in research, teaching, technology and administration a lively, family-friendly and equal opportunity environment, a lean management structure and diverse opportunities. Join us to invent the future! The Faculty of Business Administration and Economics, with its broad focus on management, taxation, accounting and finance, information systems, economics, business education, and law, is seeking to fill the following position as soon as possible within the framework of the “Sustainable Economy” priority area: W2 University Professorship (f/m/d) in Economics, with a focus on Sustainability We are seeking a candidate with an outstanding international track record in one of two possible areas: labor and social security (e.g., health or long-term care, labor markets of the future, unemployment and social insurance) or environmental economics. The candidate conducts empirical research using microdata and state-of-the-art methods of causal inference and publishes their research findings in the leading international journals in the field. The professorship is affiliated with the Department of Economics. We expect the candidate to be willing to contribute to the Paderborn Research Center for Sustainable Economy (PARSEC) and to collaborate on major collaborative grant proposals with members of the department, PARSEC, and the faculty. PARSEC brings together and actively develops faculty-wide collaborations in the areas of sociocultural, ecological, and economic sustainability in research, teaching, and knowledge transfer. Experience in securing and carrying out competitive third-party funded projects (preferably from the German Research Foundation, DFG) is an asset. Applicants must possess the necessary interpersonal and leadership skills and be willing to participate in academic self-governance. In teaching, the professorship offers thematically relevant courses focused on the “Sustainable Economy” in both German and English, thereby making a central contribution to the cross-disciplinary theme of sustainability, which is firmly anchored in all degree programs. In addition, the professorship is intended to broaden the faculty’s methodological training. It strengthens the offering of English-language methods courses during the Bachelor’s specialization phase as well as in the Master’s programs and contributes to the long-term development of the “Data Science in Economics” track. Research and teaching experience in the specified field, as well as a willingness to supervise doctoral candidates, secure external funding, and participate in academic self-governance are expected. Recruitment requirements: § 36 Abs. 1 Ziff. 1 to 4 HG NRW (University law of the State of North Rhine-Westphalia) (completed university degree, pedagogical aptitude, Ph.D. degree and additional academic achievements). Since Paderborn University seeks to increase the number of female professors, applications of woman are especially welcome. In case of equal qualification and scientific achievements, they will receive preferential treatment according to the North Rhine-Westphalian Equal Opportunities Policy (LGG), unless there are cogent reasons to give preference to another applicant. Likewise, applications of disabled people with appropriate qualification are explicitly requested. This also applies to people with equal status according to the German social law SGB IX. Paderborn University is certified as a family-friendly university. With our Dual Career Service, we support your partner with career orientation in the region if required. We will be happy to provide you with information about living and working in Paderborn and help you to find childcare options. If you are coming to us from abroad, our Welcome Services will support you on your arrival in Germany. For further information, please contact Prof. Dr. Burkhard Hehenkamp, Department Economics (wipo@wiwi.uni-paderborn.de). Applications, including the standard documents (cover letter, CV, copies of academic certificates and degrees, list of publications and courses taught, teaching evaluations, research and teaching proposal), should be submitted online by 31st of August 2026 (Ref. No. 7343) via the job portal of Paderborn University: https://bewerbung.uni-paderborn.de/stellen/7343 Information regarding the processing of your personal data can be located at: https://www.uni-paderborn.de/en/zv/personaldatenschutz Prof. Dr. Jens Müller Dean of the Faculty of Business Administration and Economics Paderborn University Warburger Str. 100 33098 Paderborn
We are seeking a candidate with an outstanding international track record in one of two possible areas: labor and social security (e.g., health or long-term care, labor markets of the future, unemployment and social insurance) or environmental economics. The candidate conducts empirical research using microdata and state-of-the-art methods of causal inference and publishes their research findings in the leading international journals in the field. The professorship is affiliated with the Department of Economics. We expect the candidate to be willing to contribute to the Paderborn Research Center for Sustainable Economy (PARSEC) and to collaborate on major collaborative grant proposals with members of the department, PARSEC, and the faculty. PARSEC brings together and actively develops faculty-wide collaborations in the areas of sociocultural, ecological, and economic sustainability in research, teaching, and knowledge transfer. Experience in securing and carrying out competitive third-party funded projects (preferably from the German Research Foundation, DFG) is an asset.
Job Description: The Department of Economics in the Franklin P. Perdue School of Business at Salisbury University invites applications for a tenure-track Assistant Professor position in Economics, beginning in January or August 2027. We seek colleagues whose research and teaching will strengthen our growing undergraduate programs and contribute to the intellectual life of a collegial, student-focused department. Position: Health Economics and Public Sector Economics. We are seeking an economist whose primary research focus lies in health economics, public economics, or the intersection of both. Relevant areas of expertise include healthcare markets, health policy evaluation, the economics of aging, health insurance, Medicaid and Medicare, taxation, government expenditure, social insurance, and state and local public finance. This list is illustrative rather than exhaustive — candidates working on related topics are encouraged to apply. The successful candidates will be expected to teach principles and intermediate microeconomics and develop one or more new electives that bring fresh applied topics to our curriculum. Responsibilities: The position carries a standard teaching load of 3-3 across our undergraduate programs. Maintain an active research program leading to peer-reviewed publications. Mentor undergraduate research and capstone projects. Provide service to the department, school, university, and profession. Faculty are expected to contribute to the Perdue School's AACSB accreditation through sustained intellectual contributions. Required Qualifications: Ph.D. in Economics, or completed by the appointment start date (ABD candidates with a clear completion timeline will be considered). Demonstrated potential for high-quality research in the relevant field. Demonstrated commitment to excellence in undergraduate teaching. Preferred Qualifications: Evidence of teaching effectiveness at the undergraduate level. A research pipeline appropriate to a candidate's career stage, with publications or working papers in progress. Interest in developing applied, policy-relevant electives that engage students. Ability to work with data and modern econometric or computational tools. About the Department, School, and University: The Department of Economics is part of the Franklin P. Perdue School of Business, an AACSB-accredited business school. The department offers a Business Economics (BS) major, as well as an Economics (BA) major within the Perdue School, and supports the school's broader undergraduate and MBA programs. Salisbury University is a public regional comprehensive university and member of the University System of Maryland, located on the Eastern Shore of Maryland, within easy reach of Washington, D.C., Baltimore, Philadelphia, and Atlantic beaches. SU is consistently recognized as one of the top public regional universities in the North. Compensation and Benefits: Salary is competitive and commensurate with qualifications and experience, with a range of $105,000–$117,000. The University offers a comprehensive benefits package including health insurance, retirement plans, and tuition remission. Application Instructions: Cover letter Curriculum vitae Job market paper and/or representative research Research statement Teaching statement, including evidence of teaching effectiveness (course evaluations if available) Graduate transcripts (unofficial acceptable for initial review) Three letters of recommendation Please note, only applications submitted through Salisbury University’s Online Employment Application System will be considered. Any supporting documents must be uploaded with the online application, as documents sent via email will not be accepted. Additionally, three professional references will be required during the final stages of the hiring process. Candidates will be notified prior to their references being contacted. Equal Opportunity Employer: Salisbury University (SU) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. SU is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.
Salisbury University invites applications for a tenure-track Assistant Professor position in Economics, focusing on health and public sector economics, beginning January or August 2027.
Job Posting for One Faculty Position in Data Analytics/Business Analytics
Job Posting for One Faculty Position in Data Analytics/Business Analytics Full Professor (Tenured), Associate Professor (Tenured), or Assistant Professor (Tenure-Track) National university: Hitotsubashi University More Information Job Details Location: Kanto district - Tokyo End date of accepting applications: 30-09-2026 Job Description We are seeking a candidate with expertise in data analytics and business analytics, particularly in quantitative analysis, data analysis, and econometric methods, with a strong ability to apply these approaches to business and management research and education. Job Requirements Minimum Qualifications: Ph.D. or other doctoral degree in quantitative analysis, econometrics, data analysis or a related field from a recognized university. Consideration given to applicants near completion of a PhD or other doctoral degree. Potential for high quality research and effective graduate-level teaching in English. Desirable Qualifications: A strong research interest in, and commitment to, the application of quantitative methods to business, economic, technological and social issues. Published or forthcoming papers in international peer-reviewed journals. Proven teaching ability at the graduate level. Employment Type Regular employee - Full-time - Tenured - Tenure-track Starting Date: 01-04-2027 (negotiable) Application Requirements Application period: 13-07-2026 to 30-09-2026 Application Method Applications must be prepared in English. Send applications via Google Forms: Application Form Selection Process Online interviews from 21-10-2026 to 30-10-2026. Contact Details Masazumi Hattori Email: ics-hiring(at)ics.hub.hit-u.ac.jp * Please change (at) to @ and send your inquiry via email only.
Hitotsubashi University is seeking candidates for a faculty position in Data Analytics/Business Analytics.
About Le Moyne College: Le Moyne College, located in Syracuse, New York is an independent college established by the Jesuits in 1946 to provide students with a values-based, comprehensive academic program designed to foster intellectual excellence and preparation for a life of leadership and service. Today, Le Moyne has evolved into a nationally acclaimed college of liberal arts and sciences that draws students from across the U.S. and abroad. Mission: Le Moyne College is a diverse learning community that strives for academic excellence in the Catholic and Jesuit tradition through its comprehensive programs rooted in the liberal arts and sciences. Its emphasis is on education of the whole person and on the search for meaning and value as integral parts of the intellectual life. Le Moyne College seeks to prepare its members for leadership and service in their personal and professional lives to promote a more just society. Le Moyne College aims to advance the values of diversity and inclusiveness at the college. To do this, Le Moyne seeks scholars and professionals who bring innovation, creativity, and impact to the campus, and who bring greater depth, breadth, and diversity to our campus community. Job Description: The Economics Program at Le Moyne College in Syracuse, N.Y. invites applications for adjunct instructors to teach ECO 250. Intermediate Microeconomic Theory, in the fall 2026 semester. The course is scheduled on Tuesdays and Thursdays at 2:30-3:45 pm. The course will be non-calculus based. The priority is to evenly split each week between microeconomic theory and contemporary, real-world applications of the theory. Course description/information: ECO 250. Intermediate Microeconomic Theory. 3 Credit Hours. Microeconomics studies the behavior of individual participants within the economic system. Models are developed and evaluated which, explain the choices of consumers, producers, and government agents related to consumption, production, and distribution of goods and services within the economy. Significant attention is paid to market theory, pricing policies, and incentive facing firms in different market environments ranging from the very competitive to the monopoly. Concepts covered include profit maximization and methods of optimization, indifference curves, economic efficiency, market failure, resource markets, monopolistic competition, oligopoly, externalities, and public goods. Prerequisites: ECO 113 and ECO 114. Requirements: Applicants must possess an Economics Ph.D, be an Economic doctoral student or possess an Economics master’s degree. Preference will be given to candidates who possess a strong record of teaching. Additional Information: Range: Pending the applicant’s educational background, field of study, and whether applying to teach at the undergraduate or graduate level, adjunct instructor beginning salaries range from $1,084 to $1,435 per credit hour, i.e., $3,255 to $4,305 per three-credit hour course. Equal Employment Opportunity Le Moyne College prohibits discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, citizenship & immigration or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Le Moyne makes hiring decisions based solely on qualifications, merit, and business needs at the time. Application Instructions: To apply for this position, please click the 'Apply Now' button and submit the following application materials: A cover letter A copy of your curriculum vitae Review of applications will begin immediately and continue until the position is filled. About Us Le Moyne College Mission Le Moyne College is a diverse learning community that strives for academic excellence in the Catholic and Jesuit tradition through its comprehensive programs rooted in the liberal arts and sciences. Its emphasis is on education of the whole person and on the search for meaning and value as integral parts of the intellectual life. Le Moyne College seeks to prepare its members for leadership and service in their personal and professional lives to promote a more just society. Le Moyne College aims to advance the values of diversity and inclusiveness at the college. To do this, Le Moyne seeks scholars and professionals who bring innovation, creativity, and impact to the campus, and who bring greater depth, breadth, and diversity to our campus community. Le Moyne College is an equal opportunity employer and encourages women, persons of color, and Jesuits to apply for employment.
Le Moyne College is seeking applications for adjunct instructors to teach Intermediate Microeconomic Theory in the fall 2026 semester.
RESD – Two Year Master’s programme in Resource Economics and Sustainable Development
Built on a solid foundation in applied economics, this preparation will distinguish RESD graduates for their ability to critically evaluate the qualitative and quantitative implications of environmental policies and firm-level management. They will be able to autonomously produce research, forecasts and plans concerning the evolution of markets for natural resources, the energy market, the carbon neutrality and contribute to the design, production and marketing of products within the framework of circular economy and compatible with the consumption of natural resources and their sustainability. LEARNING OUTCOMES The courses offered will provide an in-depth analysis of the economics of natural resources, taking into account the institutional setup of markets and the competitive strategies of firms. The extensive use of quantitative tools and theories will underpin theoretical and empirical approaches, providing the students with the skills to undertake independent research projects, to understand and analyze major current environmental issues and policies (decarbonization, energy transition, circular economy and carbon neutrality among others), and to act as consultants in private companies and public institutions. Built on a solid foundation in applied economics, this preparation will distinguish RESD graduates for their ability to critically evaluate the qualitative and quantitative implications of environmental policies, firm-level management, energy policies and strategies and to autonomously produce research, forecasts and plans concerning the evolution of markets for natural resources and energy and to contribute to the design, production and marketing of products compatible with the sustainable use of natural resources. 5 REASONS OUR STUDENTS JOINED THE PROGRAM Solid preparation in the theory and practice of environmental and natural resources economics. Multidisciplinary study program and interdisciplinary approach. Network of highly qualified international professors. International environment with a diversity of academic backgrounds. Critical understanding of the issues involved in the sustainable development goals and in the most important climate and environmental targets (decarbonization, energy transition, circular economy and carbon neutrality among others). CAREER PROSPECTS RESD is intended for students who seek a career as: Managers and environmental consultants in the industry and private companies; experts in sustainable resources management and the energy system. Advisers at governmental authorities (government agencies, ministries, provinces, and municipalities). Consultants in nature conservation organizations; water, waste management, and transport. Experts in city management, urban planning and environmental consulting; construction, and building stock management. Applied climate change researchers and experts (i.e. ESG analysts and energy managers among others), hired, for instance, by banks, insurance companies, large construction companies, and companies operating in the energy sector. Also, local, national and European governments need climate change and climate finance experts. Sustainability reporting and Corporate Social Responsibility experts. Facilitators at consultancies, specialists, and project leaders in non-governmental organizations. Development practitioners and policy makers in internationally oriented organizations, constructing socioeconomic and environmental scenarios as a tool for managing policies conflicts and synergies between climate mitigation, climate adaptation, economic development, security, poverty, and human rights agendas. PhD fellows or researchers at international research institutes, universities, environmental organizations, or governmental organizations. Independent entrepreneurs. ADMISSION REQUIREMENTS First Cycle Degree achieved in specific fields (or in alternative 36 ECTS in some specific areas) awarded by an Italian university or equivalent Bachelor level degree awarded by an accredited foreign university or university level institution recognized as suitable allowing access to a second cycle/post graduate program. English language Requirement - Minimum B2 level There are 3 application intakes per academic year: Intake 1: February - 10th April 2026 Intake 2: 15th May - 11th June 2026 Intake 3: 16th July - 20th August 2026 You may find a more detailed description of the application procedure, requirements, and specific deadlines at the following link: https://corsi.unibo.it/2cycle/ResourceEconomicsSustainableDevelopment
RESD offers a solid preparation in environmental economics, a critical understanding of the issues involved in sustainable development - both from a theoretical and practical perspective - and of the complex interactions between economic decisions, market forces, governmental policies and the environment.
Department of Economics - University of Bologna
Fully Funded 4.5-Year PhD in Health Economics – Monash University (Melbourne, Australia)
About the Program As a candidate in the CHE Integrated PhD Program, you will receive rigorous training in advanced health economics and related studies. The Integrated Program starts with advanced coursework, research training and a minor thesis packaged into a Master of Commerce (MCom) degree, taking one year to complete. Provided you meet the agreed conditions, you will then progress to the PhD, which involves high-quality research training and career development, culminating in a written thesis. The PhD stage will typically take three and a half years to complete. You will also enjoy opportunities for funded domestic and international conference travel and the potential to undertake international research visits. You will be provided your own laptop and dedicated workspace for the duration of the Integrated program. Students become part of CHE’s vibrant research community, engaging in seminars, workshops and collaborating with leading researchers. PhD students at the Centre for Health Economics are supported to pursue research with real-world impact. PhD opportunities are available across all topics of health economics. Entry Requirements and Scholarship Eligibility Applicants should have completed an Honours degree, a 4-year Bachelor's degree, or a Master's degree with top marks and preferably a research component in a relevant discipline. Relevant disciplines include health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science, or public health or psychology with strong statistical training. For full information on eligibility and English language requirements, please visit the Monash Business School Integrated PhD Program page. Applications Open A new application round for a February 2027 commencement is open and closes on 31 August 2026. Applications should follow the Integrated PhD program application process outlined on the Monash Business School website. Briefly, the process is: Assess your eligibility using the interactive tool on the webpage under Step 1 (i.e. the PhD readiness tool). If eligible, submit an application following the instructions under Step 2. Note that under this step, you must select “Graduate Coursework” as your study type, and “B6023 – Master of Commerce” as your course preference. Then click on the the "Show Start Dates" button and select 2027 Semester 1 as your start date. Follow the "View Course Options" prompt, and select "Health Economics" as your preferred stream. You do not need to identify a potential supervisor at this stage. The Centre of Health Economics will assess all eligible applications. Where appropriate supervision is available, shortlisted applicants will be contacted to meet potential supervisors to assess mutual fit. In accordance with the Integrated PhD application process, successful candidates will then be issued an "invitation to apply" to progress within the Integrated PhD pathway (Step 3). For enquiries, please contact buseco-research.degrees@f.e.monash.edu. About Monash and the Centre for Health Economics The Centre for Health Economics is one of the world's leading research groups in the economic analysis of health and health care. We have the highest concentration of economists working in health in the Asia-Pacific region and the largest Health Economics PhD program in Australia, reflecting the reputation of our researchers and the quality of their mentorship. Monash is one of the top 50 universities in the world, ranked top in health economics in the Asia-Pacific region. As a PhD student of the Centre, you will be part of a team of researchers at the cutting edge of impactful international research across themes including: disadvantage and health inequalities; global and environmental health economics; economic behaviour, incentives and preferences in health; economic modelling of health policies and technologies; and health financing and market organisation. Employment Prospects PhD graduates from the Centre for Health Economics typically find employment as researchers in leading universities and consulting firms around the world. Our previous graduates have secured positions at the London School of Economics, the University of Cambridge, the University of Oxford, the University of Illinois, the University of York, the University of Melbourne, Australian National University, Ernst & Young, the World Bank, and government health departments.
Centre for Health Economics, Monash Business School, Integrated PhD Program 2027 Location: Caulfield campus, Monash University, Melbourne Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration: You will receive a scholarship covering tuition fees and a tax-free stipend (living allowance) at current value of AU$37,000 per annum (up to $47,000 per annum for outstanding students). Additional financial support is available through research and teaching assistance work.
EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
Date: January 1, 2026 - December 31, 2026 EcoMod ONLINE expands the EcoMod School’s offerings to a flexible, accessible learning environment designed for professionals worldwide. Our online programs cover the major economic policy challenges facing governments, central banks, international organizations, and research institutions. Key topics include sustainability, energy, climate change, monetary and fiscal policy, taxation, labor markets, development, pensions, health, social protection, gender, agriculture, tourism, water, and regional economic issues. Through EcoMod ONLINE, participants learn how to design, develop, and apply quantitative economic models for scenario analysis, impact assessment, forecasting, and policy simulations. All courses are asynchronous—allowing you to study at your own pace and from any location—while maintaining the rigor, structure, and practical orientation that define EcoMod training. Instruction is delivered by senior experts with extensive hands-on experience as heads of modeling units and research divisions in major institutions. Course Open - EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS This immersive online course enables participants to master Computable General Equilibrium (CGE) modeling using GAMS, following the successful EcoMod framework—an internationally recognized standard in applied economic modeling. Participants will build models from the ground up, developing practical skills in partial and general equilibrium analysis, household behavior, production technologies, macro‐economic policy, government interventions, labor markets, savings-investment dynamics, and international trade. Advantages of EcoMod ONLINE Learn from anywhere, at any time, with full flexibility for professional schedules Progress at your own pace through structured, high-quality modules Access the same level of expert instruction as our in-person schools Apply learning immediately through real datasets, models, and hands-on exercises Join a global network of peers and experts across institutions and regions EcoMod Legacy and Expertise EcoMod ONLINE builds on the EcoMod Network’s 25-year legacy as the global leader in training on CGE, macroeconometric, financial, and environmental modeling. The EcoMod School of Modeling and Data Science is recognized worldwide for its step-by-step, practice-oriented teaching methodology, enabling participants to construct and work with operational models under expert guidance. Our ONLINE courses preserve this proven learning approach through carefully designed modules, practical exercises, and real-world model applications. EcoMod also maintains the largest alumni network in the world in this specialized field, with participants from more than 2,000 institutions in 180 countries. By joining EcoMod ONLINE, you become part of this global community of policymakers, economists, and analysts who rely on EcoMod’s training to support evidence-based decision making. Header Image Credit: Unsplash / Additional Image Credits: Ecomod
Join a Global Community of Modeling Professionals through the EcoMod ONLINE program.
Along with bias, variance is one of the main factors by which economists, statisticians and data scientists judge estimators, helping them decide which ones to use. Thus, understanding both concepts will help new students of economics — as well as statistics and data science — to dive into the weeds of models and make the best judgments possible. Mathematical definition of variance As with bias, the definition of variance can — well — vary, at least when we rely on words. The mathematical definition, below, is more precise: \begin{equation*} $Var(x) = \mathbb{E}(X^2) - \mathbb{E}(X)^2$ \end{equation*} Let’s break this formula down. “Var” simply stands for variance, and so “Var(x)” means “the variance of x”. Meanwhile, the expectation symbol (the fancy “E”) gives the expected value, or mean, of the quantity inside it — check out our article on mathematical symbols if you’re unfamiliar. This equation states that variance of x is the expected value of “x squared” minus the squared “expected value of x”*. Notice that both terms in this equation are squared somehow. This is very important, for reasons we’ll soon get to. Recall that variance measures how much a random variable deviates from its mean. There are two ways to vary from a mean: being too small or too large. When we want to measure this variation, we want a nice, straightforward number that gives us a good sense of how far the variable’s specific realizations could be from its mean*. *Note that much of this language is, while good for building intuition, very imprecise. Words are not very good at capturing truths about statistics or probability — the invested reader should lean on the mathematical statements first and foremost for these concepts. The most natural way to generate such a number would be to measure multiple realizations of a random variable, then add up all of the deviations from the mean. We could add all of these deviations together to get the number. But, this method has a fatal flaw. “Negative”, or too-small, deviations can cancel out with “positive”, or too-large deviations, when we simply add them together. This is why we square the values. As a quick example, suppose we have a random variable y with mean 0, and we record the following realizations of y from an experiment: 1, -3, 2, 2, -1, and -1. The sum of the deviations is 0, so if we looked at this sum alone, we might think that y doesn’t vary at all. But none of the outcomes were 0 — so obviously, y must have at least some variance! We can easily solve this problem by squaring the values of the deviations, then adding them together and finding the average. So, for example, the variance of this example y is the average of 1 + 9 + 4 + 4 + 1 + 1, which is 20/6 = 10/3. Now, we have a single number that tells us how much realizations of the random variable y will likely vary from its mean**. **Again, language can be imprecise here where math is very clear. This statement is NOT implying that the realizations of y are bounded, only that the realizations of y vary from its mean with some frequency. There could still be extremely large or extremely small deviations from the mean far outside of this implied “range”, just with very low probability. Variance doesn’t tell us any information about what values y can or cannot take on; it only tells us how “spread out” the realizations of y are relative to its mean. This is why it’s so important that we use squared values in the variance formula. Squares are always positive, and so we will always get a non-negative measure of a variance. The positive and negative deviations won’t cancel each other out. Finally, note that it is actually possible for a quantity to have zero variance. All constants — like the number 38 — have zero variance. (It’s a little weird to talk about constants in this way, because constants aren’t random variables, but it’s a very clear illustration all the same.) High variance is (usually) a bad thing One of the main things to know about variance is that, typically, we want as little of it as possible. The more variance we have, the harder it is to tell what that random variable is supposed to be varying around — in other words, what its expected value is. This makes drawing conclusions from datasets difficult. Let’s illustrate this point with the following table. It contains the realizations of two random variables, X1 and X2, both of which are Normally distributed. In other words, we draw a random number from a Normal distribution 6 times for each. Try to use the table to answer the question: what are the expected values of X1 and X2? In other words, what values are these random variables centered around? Give the table a look and see if you can guess. X1 X2 Draw 1 -0.2 14.08 Draw 2 0.38 -4.94 Draw 3 -0.41 -6.19 Draw 4 -2.38 9.58 Draw 5 -0.58 -27.22 Draw 6 -0.87 -13.15 The answer? Both X1 and X2 are centered around 0; in other words, their mean is 0. This might have been fairly easy to guess with X1, which has many values close to 0. But X2 has a much higher variance than X1, which means its realizations are much more spread out, and it’s harder to tell that it’s centered around 0. For the curious, these values were generated from the following distributions: X1 ~ N(0,1) and X2 ~ N(0,15). Variance’s role in the analysis of real data When we gather data to run a regression, hoping to test hypotheses and learn something about the real world, inevitably the variables we collect will have some variance. This isn’t a bad thing — in fact, we need at least some variance in order to conduct any analysis. If variables never changed, we wouldn’t be able to tell how other factors affect them. Still, too much variance is a bad thing. The table above clearly showed one reason why: when values fluctuate wildly, it’s hard to tell what the expected value of a random variable is. Of course, we have computers that can parse data for us, but even a computer cannot magically find the expected value without enough data. Let’s suppose we do want to find the expected values of these random variables, using the data we have. This is an extremely common analysis. If we fed the X2 column into a program and asked it to find the expected value for us, it’d give us -4.64. That’s pretty far off from 0. Meanwhile, if we used a computer to find the expected value of the X1 column, we’d get -0.67. Much closer! The lower variance certainly helped. There is a simple way to improve the accuracy of our analysis, even for the X2 column: collect more data! This is where the Law of Large Numbers and other helpful statistics theorems come in. If we were to generate, say, 10000 random draws from these distributions, we would get estimates for both expected values very close to zero. If you wish to see this for yourself, there are many helpful tutorials online about how to code a Normal distribution and conduct these draws in your statistical software program of choice. Give it a shot! Population vs. sample variance It’s important to mention the difference between the sample variance and the population variance. The sample variance is what we’ve collected in the data. For example, if we were to use the numbers in the table above and find the estimated variance given the numbers for X1, we’d have generated a sample variance. The population variance is the true variance of the process underlying the random variable. In the case of X1, that variance is 1, since we generated the draws using a normal distribution with variance 1. This is an important distinction to know about, since it’s usually obvious from the context which is being discussed, but seldom actually mentioned. Heteroscedasticity vs. homoscedasticity Finally, it’s worth mentioning the concepts of homoscedasticity and heteroscedasticity as they are intimately linked to variance and commonly discussed. When the variance of a random variable is unchanging, it’s called homoscedastic. This is the “default” case, which enables much of our statistical inference to be valid. However, sometimes random variables have a variance that changes. This can be over time or over different values of the underlying random variable. For example, spending by low-income households feature lower variance than spending of high-income households. Larger companies typically have bigger fluctuations in profit than smaller companies do. Heteroscedasticity invalidates our usual methods of drawing conclusions from data unless we notice and correct for it. This is a topic that is often discussed in statistics and econometrics courses. Consider taking some coursework in these subjects to learn more! Good to Know Standard deviation is another key concept in statistics that measures the variance of a random variable. It’s simply the square root of the variance. Since the variance is essentially the deviations from the mean squared, the standard deviation is thus the deviations from the mean put back into the same units that the mean is measured in. For this reason, statisticians, data scientists and economists might use the standard deviation rather than variance for the purposes of extended discussion, since it’s a more intuitive measure. It’s easier to see when a particular value is very unlikely when thinking in terms of standard deviation. Suppose we know that a random variable has a mean of 0 and a variance of 4, and a realization of that variable is — say — 6, it seems that this realization isn’t terribly unlikely. Still, this means we know that the standard deviation is 2, and the value 6 is three times that. Turns out, this is quite unlikely!
Variance is a key concept in statistics and econometrics that influences a great deal of formulae, statistical tests, model setups, estimation strategies, and more. It’s one of the major characteristics of random variables and probability distributions, which are ubiquitous in statistics and economic models. This is also a case of a very accurate name: variance is a quantity that measures how much a random variable can be expected to differ from its expected value (or its mean). In other words, variance measures how much something varies from the value we’d expect it to take on.
Assistant Professor Position at University of Rijeka, Faculty of Economics
Offer Description The University of Rijeka, Faculty of Economics announces COMPETITION 13/2026 to conduct the selection procedure for one executive for the scientific and teaching position of Assistant Professor, for the scientific field of social sciences, the scientific field of economics, the scientific branch of finance, for an indefinite period with a part-time working time of 20%. Applicants must meet the conditions set out in the Higher Education and Scientific Activity Act (OG 119/22). Required Documents: CV Proof of Croatian citizenship or citizenship of another country; foreign citizens require proof of knowledge of the Croatian language (advanced level) Proof of the acquired academic degree of Doctor of Science (if qualification obtained abroad, a reasoned opinion of the competent agency on the foreign educational qualification is required) Decision on selection for a scientific title (if applicable) Proof of meeting conditions prescribed by the Decision of the Rectors' Conference on assessment of teaching and professional activities List of scientific and professional papers Applications must be sent electronically. Both genders can apply equally. Terms used in this competition are neutral and refer to both sexes. Applicants claiming the right to priority in employment must mention it in their application and provide necessary evidence. The Faculty retains the right to conduct knowledge and skills tests or interviews with applicants. Those who fail to attend the test will be considered to have withdrawn their application. The Faculty also reserves the right not to select any applicant. By applying, applicants agree that the University of Rijeka may collect and process personal data for the competition purpose according to regulations. The deadline for submitting applications is 30 (thirty) days from the publication of the competition in the Official Gazette. Applications should be submitted exclusively by e-mail to dekanat@efri.uniri.hr, with the indication: “Application for competition no. 13/2026”. Late and incomplete applications will not be considered. Contact City: Rijeka Email: dekanat@efri.uniri.hr Website: University of Rijeka, Faculty of Economics Work Location Street: Ivana Filipovića 4 Postal Code: 51000 Country: Croatia
The University of Rijeka is conducting a selection procedure for one executive for the scientific and teaching position of Assistant Professor in the field of Economics, specifically in Financial Science, with a part-time contract.
Faculty of Economics - University of Rijeka
Master in International and Monetary Economics (MIME) - Joint Program by the Universities of Basel and Bern
Program Highlights: Elite Joint Degree: Offered by the Universities of Basel and Bern, two of Switzerland’s leading institutions. Exclusively in English: Designed to attract a high-caliber international student body. Highly Specialized: Focus on monetary policy, financial markets, and international economics. Rigorous Curriculum: Strong emphasis on quantitative methods and analytical skills, equipping graduates with the tools required for top-tier careers. Career & PhD-Oriented: Prepares students for prestigious roles in central banks, regulatory agencies, and international organizations, or for admission into the best PhD programs worldwide. Competitive Tuition Fees: The cost is highly attractive compared to other international programs, ranging between 850 (for Swiss residents) and 950 to 1700 CHF (for non-Swiss residents) per semester. Curriculum Structure: Advanced Economics Training (18 ECTS): Strengthens foundations in microeconomics, macroeconomics, and econometrics. Core Monetary Economics Courses (24 ECTS): Covers key areas such as monetary theory, monetary policy, and international macroeconomics. Specialization Tracks (18 ECTS), for example: Financial Markets and Regulation Quantitative Macroeconomics International Macroeconomics and Trade FinTech Master’s Thesis (30 ECTS): An in-depth research project demonstrating expertise and academic excellence. Career Prospects: Graduates of the MIME program are in high demand in: ✅ Top PhD Programs in Economics and Finance ✅ Central Banks (e.g., Swiss National Bank, European Central Bank, Federal Reserve) ✅ International Organizations (e.g., IMF, World Bank, BIS, OECD) ✅ Regulatory Authorities and Government Agencies ✅ Economic Research Institutions and Think Tanks Admission Requirements: Academic Excellence: A strong bachelor’s degree in economics or a related field, with a solid background in quantitative methods. High Motivation & Ambition: The program is designed for students who aim for the highest career and academic achievements. English Proficiency: Minimum B2 level (Common European Framework). Application Deadlines: Regular applications by April 30th; students with a Swiss bachelor’s degree can apply until July 31st (Basel) and August 31st (Berne), see admissions link for details. For further details on admission, visit: https://mimecon.ch/admission/ Join the MIME program and take the next step toward a career at a central bank, international institution, or a world-class PhD program!
The Master in International and Monetary Economics (MIME) is a highly selective, top-tier program designed for outstanding students who aspire to careers in central banks, financial regulatory authorities, international organizations, or top economic research institutions. It also serves as an excellent stepping stone for those aiming to pursue a PhD at a leading university worldwide. Website: https://mimecon.ch/
Faculty of Business and Economics at the University of Basel
Master in International and Monetary Economics
Lehrkraft für besondere Aufgaben (w/m/d) für das Lehrgebiet „Wirtschafts- und Verhaltenswissenschaften“
Die Hochschule Landshut ist eine dynamische Hochschule für angewandte Wissenschaften mit den Studienschwerpunkten Technik, Wirtschaft, Soziales, Gesundheit und Medien und in praxisorientierter Lehre, Forschung sowie Transfer national und international hervorragend etabliert. Sie bildet mehr als 5.000 Studierende aus und beschäftigt derzeit 450 Mitarbeiterinnen und Mitarbeiter. Die Fakultät Betriebswirtschaft – Business School der Hochschule Landshut sucht zum 01.03.2027 eine Lehrkraft für besondere Aufgaben (w/m/d) für das Lehrgebiet „Wirtschafts- und Verhaltenswissenschaften“ (Befristet, in Voll- oder Teilzeit) Ihre Aufgaben: Planung, Durchführung und Nachbereitung von Lehrveranstaltungen zu den Grundlagen- und Wahlpflichtfächern im Bereich Behavioral Economics oder (Wirtschafts-)Psychologie sowie Quantitativer Methoden in deutscher und englischer Sprache mit einer Lehrverpflichtung von derzeit 19 Semesterwochenstunden bei einer Vollzeitbeschäftigung Übernahme wirtschafts- und verhaltenswissenschaftliche Lehrveranstaltungen, welche sich an dem fachlichen Hintergrund des Bewerbers / der Bewerberin (m/w/d) orientieren Beratung und Betreuung von Studierenden zu Quantitativen Methoden und wissenschaftlichem Arbeiten (z. B. im Rahmen von Projekt- und Abschlussarbeiten) Mitarbeit bei Organisationsaufgaben, Prüfungsangelegenheiten und in der Selbstverwaltung der Fakultät Unsere Anforderungen: Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master, Diplom Universität) in einem einschlägigen Fach in Wirtschafts- und Verhaltenswissenschaften Ausgewiesene Expertise in Behavioral Economics oder (Wirtschafts-)Psychologie sowie in Quantitativen Methoden (speziell Statistik und Wirtschaftsmathematik) Mindestens dreijährige hauptberufliche praktische Tätigkeit außerhalb des Hochschulbereichs im einschlägigen Fach, die nach Abschluss des Hochschulstudiums erworben sein muss Pädagogische Eignung; der Nachweis hierzu ist durch eine Probelehrveranstaltung zu erbringen Darüber hinaus wären folgende Kompetenzen wünschenswert: Methodische und didaktische Erfahrung in der akademischen Ausbildung sowie in der Betreuung von Abschlussarbeiten Erfahrung in empirischer Forschung und Publikationen in Fachzeitschriften Wir bieten Ihnen: Inspirierendes Umfeld von erfahrenen Kolleginnen und Kollegen im Bereich (Wirtschafts-)Psychologie und Verhaltensökonomik sowie anderen Fachdisziplinen Eine interessante, abwechslungsreiche und herausfordernde Tätigkeit in einem innovativen Umfeld Flexible Arbeitszeitmodelle an einer familienfreundlichen Hochschule Vielfältige Sozialleistungen nach den Regelungen des öffentlichen Dienstes, insbesondere zusätzlicher Altersversorgung sowie eine Jahressonderzahlung nach den Vorgaben des TV-L Herausragende Angebote im betrieblichen Gesundheitsmanagement und in der Gesundheitsförderung Vielfältige Sportangebote auf dem Campus Einen auf 2 Jahre befristeten Arbeitsvertrag in Voll- oder Teilzeit Bezahlung nach dem Tarifvertrag für den öffentlichen Dienst der Länder, je nach Qualifikation und persönlicher Voraussetzungen bis zur Entgeltgruppe 13 TV-L Eine lebenswerte Region in Niederbayern mit hohem Freizeit- und Kulturwert und einzigartigen Standortvorteilen in der Metropolregion München Da die Einstellung nach § 14 Abs. 2 des Teilzeit- und Befristungsgesetzes befristet ist, können Bewerberinnen und Bewerber (w/m/d), die bereits in einem Arbeitsverhältnis zum Freistaat Bayern gestanden haben bzw. derzeit stehen (betrifft auch SHK- und WHK-Verträge), nicht berücksichtigt werden. Haben wir Ihr Interesse geweckt? Dann nutzen Sie Ihre Chance und werden Sie Teil der Hochschule Landshut! Wir freuen uns auf Ihre Onlinebewerbung bis zum 15.09.2026. Weitere Informationen erhalten Sie nach Registrierung und Login. Für Rückfragen im Zusammenhang mit Ihrer Bewerbung stehen wir Ihnen unter 0871 506-103 gerne zur Verfügung; allgemeine Infos finden Sie unter: www.haw-landshut.de. Schwerbehinderte Bewerberinnen und Bewerber (w/m/d) werden bei ansonsten im Wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. Bitte legen Sie in diesem Fall eine Kopie Ihres Schwerbehindertenausweises oder Ihrer Gleichstellungsbescheinigung bei. Es stehen eine genügende Anzahl Betreuungsplätze für Kinder im Vorschulalter in unserer Kinderbetreuungsstätte CampusNest zur Verfügung. HOCHSCHULE LANDSHUT Hochschule für angewandte Wissenschaften Am Lurzenhof 1 84036 Landshut Tel. +49 (0)871 – 506 332 Fax. +49 (0)871 – 506 506 www.haw-landshut.de
Hochschule Landshut sucht eine Lehrkraft für besondere Aufgaben im Lehrgebiet Wirtschafts- und Verhaltenswissenschaften zum 01.03.2027.
Wirtschafts- und Verhaltenswissenschaften