3rd III/LIS Comparative Economic Inequality Conference
LIS and the UK LIS Satellite Office at the International Inequalities Institute (III) invite scholars working in the field of comparative economic inequality to contribute to the 3rd III/LIS Comparative Economic Inequality Conference on 11-12 February 2027 at the London School of Economics (LSE). We invite submissions from scholars at all levels of seniority who are working on comparative economic inequality, broadly interpreted. Topics might include (but are not restricted to) inequalities in income, wealth, debt, gender, race, class, space. We are particularly interested in papers looking at cross-country differences using LIS/LWS or similar data but are also open to comparative work focusing on inequalities across different socio-demographic or socio-economic groups within countries. The conference focus is on inequality data, measurement and methods, but not restricted to this. Confirmed Keynote Speakers Paula England, NYU Abu Dhabi A second keynote speaker is still to be confirmed Submissions Please send a title and either a complete draft (including an abstract) or, if not yet available, an extended abstract (approximately 2 pages), to iii.Lis@lse.ac.uk, and iii.lis@lisdatacenter.org Special Session – Luxembourg Consumption Study (LCS) Database For the first time, the conference will feature a special session dedicated to research using the LCS (Luxembourg Consumption Study) database, coinciding with its official launch. The LCS is LIS’s new harmonised database on household consumption and expenditure, completing LIS’s income–consumption–wealth data framework. As the Beta release of the data will become available on September 15th, 2026, authors are welcome to submit abstracts describing research they plan to conduct using the LCS Database, based on the documentation currently available on the LIS website. Scientific Committee Prof Dr. Philippe van Kerm (LIS), Prof Dr. Nora Waitkus (LSE), Prof. Dr. H. Xavier Jara (LSE), Dr. Severin Rapp, Teresa Munzi (LIS), Dr. Kun Lee (LIS) Questions For any questions, contact iii.Lis@lse.ac.uk, and iii.lis@lisdatacenter.org.
LIS and the UK LIS Satellite Office at the International Inequalities Institute (III) invite scholars working in the field of comparative economic inequality to contribute to the 3rd III/LIS Comparative Economic Inequality Conference.
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)
Urban, Rural and Transportation Economics (JEL R)
Econometrics, Statistics and Quantitative Methods (JEL C)
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.
Job Summary: These are tenure-track positions in economics. We are seeking faculty members able to teach undergraduate and graduate courses in economics, quantitative reasoning, and related subjects. Marist faculty are expected to maintain a robust program of disciplinary research resulting in peer-reviewed publications. They also participate in the life of the School and its activities, including involvement in committee work, student advising and support, and community outreach activities. The School of Management will be accepting applications immediately for the position as an Assistant Professor for the fall 2027 semester. Minimum Qualifications: Terminal degree in economics or closely related field (Ph.D., or A.B.D. with projected completion by December 2027). Professional experience is also highly desirable. Essential Functions: Teaching undergraduate and graduate courses. Maintaining an active research agenda leading to peer-reviewed publications. Advising students, taking part in service activities, and serving on committees as needed. Required Application Documents: Cover Letter CV/Resume Statement of Teaching Philosophy Contact information of three Professional References Benefits: The position includes a comprehensive benefit package. Benefits for this position include but are not limited to the following: Unlimited paid sick time. 14+ paid holidays per year. Medical, Dental & Vision insurance programs at a 15% employee / 85% employer contribution rate. Life insurance. 403(b) defined contribution plan with various contribution rates over time. Tuition Benefits for employees and eligible dependents. About the Department/School: The AACSB-accredited Marist School of Management, which includes majors in Accounting, Business Administration, Finance, and Economics, is a leader in teaching students to develop the skills to succeed in today’s global business community. About Marist University: Founded in 1929, Marist is a comprehensive, independent four-year institution devoted to nurturing a welcoming, inclusive community with a focus on experiential learning. Equal Employment Statement: Marist University is committed to creating an inclusive workforce. Equal opportunity means employment, development, and promotion of individuals without discrimination against any member of the community. Number of Position Openings: 3
Marist University in Poughkeepsie, NY is seeking a full-time Assistant Professor of Economics for a tenure-stream position.
6th Workshop on Financial Econometrics and Empirical Modeling of Financial Markets
Nowadays Central banks must navigate several challenges simultaneously, adapting their policies to address unforeseen crises, geopolitical turmoil, and long-term environmental issues. The role of central banks is expanding beyond traditional economic stabilization, requiring them to consider broader global risks and work in coordination with fiscal and regulatory authorities to ensure economic resilience in an ever-changing world. Monetary policy, as a flexible and adaptable tool, is essential in addressing the complex interplay of these critical factors. The different challenges have in common that monetary policy also needs to adjust and develop tools to accommodate the increasing uncertainty surrounding the future path of inflation and the real economy. This workshop attempts to bring together researchers from different areas to address these challenges. We invite researchers to present their original work on related topics including, but not necessarily limited to, the following: Monetary policy in a high inflation environment Change in monetary policy and financial market effects Inflation expectation in a high inflation regime Geopolitical tensions, inflation and monetary policy Monetary policy transmission in times of uncertainty and the role of financial markets Macroeconomic effects of uncertainty and geopolitical risk Central bank communication and financial markets Green central banking and green finance Central Bank Digital Currency (CBDC) Spillover effects in expectations and uncertainty Date and Venue: The workshop will be held on October 22 and 23, 2026 at the FernUniversität in Hagen, Campus Berlin. The venue is the Berlin Campus of the FernUniversität in Hagen (Kurfürstendamm 21, D-10719 Berlin). Program: TBA Organizing Committee: Robert L. Czudaj, Technical University of Freiberg (robert-lukas.czudaj@vwl.tu-freiberg.de) Joscha Beckmann, University of Hagen and Kiel Institute for the World Economy (joscha.beckmann@fernuni-hagen.de) Paper Submission: Abstracts of papers or preferably full papers should be submitted electronically by August 17, 2026 using Conference Maker. Authors will be notified by no later than August 31, 2026. Registration Fee: There is no participation fee. Dinner on the first evening and lunch on the second day will be covered. Accommodation will not be covered. Call for Papers
6th Workshop on Financial Econometrics and Empirical Modeling of Financial Markets: Evolving Landscape of Monetary Policy and Financial Markets
Postdoc Position in Data-Driven Sustainability Policy and Economics
TRANSFORMING TOMORROW: MAKE A DIFFERENCE WITH US. IT:U is a new technical university in Austria (Linz) dedicated to digital transformation, driven by interdisciplinary research and project-based learning to actively shape this transformation and advance it with a solution-oriented approach. Join us as a Postdoc Position in Data-Driven Sustainability Policy and Economics* Full-Time | Up to 4 years | On-site in Linz (AT) | Start Date: 01.10.2026 FIELD OF RESEARCH AND SCOPE: The AI & Sustainability Policy Lab uses quantitative methods to understand, evaluate, and scale effective climate and conservation policies. We combine causal inference, experimental/behavioral economics, machine learning, and computational social science to support evidence-based sustainability transitions. Climate change and biodiversity loss pose complex societal challenges that require both rigorous policy evaluation and advanced computational tools. In our lab, we are interested in: Generating credible causal evidence on the environmental, social, and economic impacts of climate and conservation policies. Applying machine learning and artificial intelligence methods to improve policy targeting, forecasting, prediction, and heterogeneous treatment effect estimation. Combining experimental methods, econometric analysis, and AI to generate and translate evidence for evidence-based policymaking. Understanding human behavior, policy acceptance, and collective action in sustainability transitions through experimental and observational data. The successful candidate will contribute to research at the intersection of AI, sustainability, and public policy, while collaborating with an interdisciplinary team of economists, data scientists, and policy stakeholders. Your tasks and responsibilities: Conducting high-quality research activities Conducting academic teaching activities. Preparing and publishing academic manuscripts in high-impact academic journals Presenting research findings at national and international conferences Collaborating with other interdisciplinary research teams and external partners Supporting the preparation and submission for third-party funding proposals Your strengths and skills: A completed PhD (or equivalent) in Economics, Data Science, Computer Science, Environmental Sciences, Political Science, Public Policy, or a related discipline with a quantitative focus. A strong publication record relative to career stage, or clear potential to publish in leading international journals. Strong expertise in one or more of the following areas: Experimental and behavioral research methods Causal inference, econometrics, and policy evaluation Machine learning, AI, and computational methods Research experience and demonstrated interest in sustainability, climate and environmental policy, biodiversity conservation, environmental governance, or related policy domains. Ability to work independently and collaboratively in interdisciplinary research teams Excellent written and spoken English What you can expect: Work on high-impact research addressing climate and biodiversity challenges. Collaborations with leading international researchers in sustainability, economics, and public policy Benefit from mentoring and support for developing an independent research profile. International mobility, conference participation, and exchange opportunities through our academic network. Additional: Innovative and stimulating working conditions in an interdisciplinary, international research environment Office kitchen with complimentary basic supplies Flexible working hours through a flextime model and the option for home office Free parking or Climate Ticket Upper Austria HOW TO APPLY We look forward to receiving your online application (via the online portal below), including these elements: Cover letter Your CV PhD certificate (or confirmation of expected completion date) One representative publication or working paper Contact details of two references Competitive compensation starting from € 67,000 yearly gross salary. *Come as you are – we value and promote diversity in our team. Everyone is encouraged to reach their full potential, realize ideas and seize opportunities. Regardless of age, skin colour, religion, gender, sexual orientation, or origin, we welcome applications from all people equally. Apply for this job
Join us as a Postdoc in the AI & Sustainability Policy Lab, focusing on climate challenges and sustainability research.
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.
Adjunct Instructor- Principles of Economics
Title: Adjunct Instructor- Principles of Economics Employee Classification: Adjunct Faculty Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College of Lib Arts & Soc Sci Department: UNT-Economics-121500 Job Location: Denton Salary: $4,641.48 Department Summary The Department of Economics is actively involved in producing high-quality research and teaching courses designed to produce graduates with the economic background and quantitative skills necessary to succeed in today's labor market or at Ph.D. programs in economics and related subjects. The department is currently made up of 14 faculty, including nine tenure system research faculty and six lecturers. Position Overview The Department of Economics seeks qualified individuals for its adjunct applicant pool to teach Principles of Microeconomics and/or Principles of Macroeconomics. This posting is for the Fall 2026, Spring 2027, and Summer 2027. Minimum Qualifications MA or MS in Economics for undergraduate courses; Required License/Registration/Certifications N/A Benefits For information regarding our Benefits, click here. EEO Statement The University of North Texas System is firmly committed to equal opportunity and does not permit -and takes actions to prevent - discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status. Apply Now Want to learn more about working for this employer? View Profile
The University of North Texas System is seeking qualified individuals for its adjunct applicant pool to teach Principles of Microeconomics and/or Principles of Macroeconomics for the Fall 2026, Spring 2027, and Summer 2027 terms.
Offer Description We are seeking for an experienced accountant to join our team. In this role, you will be reporting to the Chief Administrative Officer of the Consortium, the successful candidate will be responsible for the following main activities: support the implementation of the new accounting software Ad Hoc revolution web; ensure financial accuracy and compliance while tracking the financial data through detailed records and reports; reconciling general ledgers and bank statements; support the preparation of the financial statements for management, and tax reporting; ensuring compliance with local, provincial and national regulations; support the forecasting cash flow; maintaining and updating CERIC budget and bookkeeping records; support the financial reporting of all the funded and internal projects of CERIC-ERIC, according to the funding agency's policies, internal procedures and rules of CERIC. Where to apply E-mail: hr@ceric-eric.eu Requirements Research Field: Economics Education Level: Bachelor Degree or equivalent Skills/Qualifications: University degree in Economics, Accounting or equivalent. Experience in accounting for a minimum period of 8 years. Good knowledge of the accounting software Zucchetti "Ad Hoc" or "Ad hoc revolution web". Good knowledge of the Italian fiscal rules. Good knowledge of English (minimum B2 level), both written and spoken. Excellent knowledge of MS Office Suite. Competences considered a plus: Eager to help others; Friendly, cheerful, positive and self-driven; Strong work ethic; Keen to learn, adapt and apply to new challenges; Able to work independently and as part of a team; Highly organized, comfortable with multi-tasking and with good attention to detail; Excellent interpersonal and communication skills with the ability to communicate with colleagues across divisions and seniority; Knowledge of additional languages of the Consortium is an advantage. Additional Information Benefits: 12 months Fixed – term contract, with the possibility of extension; Possibility to work partially remotely; Salary range from 32.000 € – to 38.000 € annually, will be commensurate with previous experience and qualifications of the candidates. Bonus based on performance. Benefits: 33 days of holidays per year, flexible working time, meal vouchers; Training possibilities. Selection process How to apply: To apply for this job, please send your CV and a motivation letter to hr@ceric-eric.eu, with the following subject: Accounting officer. For more information about the role, please contact: administation@ceric-eri.eu. Deadline for application: July 24, 2026. Additional comments About CERIC: The Consortium was set up with the European Commission’s decision on June 2014, (214/392/EU) and its Statute was published in 26/6/2014 in the EU official Gazette. CERIC provides open access to some of the most advanced analytical facilities in Europe to help science and industry advance in all fields of materials, biomaterials and nanotechnology. Website for additional job details: CERIC Job Details Work Location(s) Company/Institute: CERIC-ERIC Country: Italy State/Province: Trieste City: Basovizza Postal Code: 34149 Street: S.S. 14 – km 163,5 in AREA Science Park
CERIC-ERIC is seeking an experienced accountant for a full-time position with the possibility of remote work.
wiss. Mitarbeiterin bzw. Mitarbeiter (m/w/d)
Die Technische Universität Dresden (TUD) zählt als Exzellenzuniversität zu den leistungsstärksten Forschungseinrichtungen Deutschlands. Sie begreift Diversität als kulturelle Selbstverständlichkeit und Qualitätskriterium einer Exzellenzuniversität. Entsprechend begrüßen wir alle Bewerberinnen und Bewerber, die sich mit ihrer Leistung und Persönlichkeit bei uns und mit uns für den Erfolg aller engagieren möchten. An der Fakultät Wirtschaftswissenschaften ist an der Professur für Betriebswirtschaftslehre, insbesondere Wirtschaftsprüfung und Steuerlehre zum nächstmöglichen Zeitpunkt eine Stelle als wiss. Mitarbeiterin bzw. Mitarbeiter (m/w/d) (bei Vorliegen der persönlichen Voraussetzungen E 13 TV-L) für zunächst drei Jahre mit der Option auf Verlängerung (Beschäftigungsdauer gem. WissZeitVG), mit 75 % der regelmäßigen wöchentlichen Arbeitszeit und dem Ziel der eigenen wiss. Weiterqualifikation (i. d. R. Promotion), zu besetzen. Aufgaben: Mitarbeit am Lehrprogramm der Professur (Vorbereitung und Durchführung von Lehrveranstaltungen, Aufgabenkorrektur und Unterstützung von Prüfungen) Mitarbeit an Forschungsprojekten der Professur Beteiligung an administrativen Aufgaben an der Professur und in der Fakultät Voraussetzungen: sehr guter wiss. Hochschulabschluss (Diplom oder Master) auf dem Gebiet Wirtschaftswissenschaften mit Schwerpunkten in Rechnungslegung sowie Prüfungswesen oder Steuerlehre starkes Interesse an Forschung und Lehrtätigkeit in den genannten Schwerpunkten fundierte Kenntnisse in Regulierung und empirischer Forschungsmethodik in den genannten Schwerpunkten sehr gute Deutsch- und englische Sprachkenntnisse hohes Maß an Teamfähigkeit, Flexibilität und Eigeninitiative Wir bieten: Gelegenheit zu interessanter und eigenverantwortlicher Arbeit in flacher Hierarchie in einem aufgeschlossenen Team und unterstützender Atmosphäre flexible Regelung von Arbeitszeiten für eine gute Vereinbarkeit von Beruf und Privatleben 30 Urlaubstage pro Jahr (innerhalb einer 5-Arbeitstage-Woche) umfangreiches Angebot zur Fort- und Weiterbildung Gesundheitsvorsorge und Sportangebote der TUD ein ermäßigtes Jobticket (auch als Deutschlandticket) Teilnahme an der zusätzlichen Altersversorgung im öffentlichen Dienst über die VBL Die TUD strebt eine Erhöhung des Anteils von Frauen an und bittet diese deshalb ausdrücklich um deren Bewerbung. Die Universität ist eine familiengerechte Hochschule. Bewerbungen schwerbehinderter Menschen sind besonders willkommen. Bei gleicher Eignung werden diese oder ihnen kraft SGB IX von Gesetzes wegen Gleichgestellte bevorzugt eingestellt. Bewerbung: Ihre aussagekräftige Bewerbung senden Sie bitte mit den üblichen Unterlagen bis zum 18.09.2026 (es gilt der Poststempel der Zentralen Poststelle bzw. der Zeitstempel auf dem E-Mail-Server der TUD) bevorzugt über das SecureMail-Portal der TUD https://securemail.tu-dresden.de als ein PDF–Dokument an wus.wiwi@tu-dresden.de bzw. an: TU Dresden, Fakultät Wirtschaftswissenschaften, Herrn Prof. Dr. Michael Dobler, Helmholtzstr. 10, 01069 Dresden. Ihre Bewerbungsunterlagen werden nicht zurückgesandt, bitte reichen Sie nur Kopien ein. Vorstellungskosten werden nicht übernommen. Die TUD ist Gründungspartnerin der Forschungsallianz DRESDEN-concept e.V. Hinweis zum Datenschutz: Welche Rechte Sie haben und zu welchem Zweck Ihre Daten verarbeitet werden sowie weitere Informationen zum Datenschutz haben wir auf folgender Webseite für Sie zur Verfügung gestellt: https://tu-dresden.de/karriere/datenschutzhinweis.
An der TU Dresden, Fakultät Wirtschaftswissenschaften, ist an der Professur für Betriebswirtschaftslehre, insbesondere Wirtschaftsprüfung und Steuerlehre zum nächstmöglichen Zeitpunkt eine Stelle als wiss. Mitarbeiterin bzw. Mitarbeiter (m/w/d) (bei Vorliegen der persönlichen Voraussetzungen E 13 TV-L) für zunächst drei Jahre mit der Option auf Verlängerung (Beschäftigungsdauer gem. WissZeitVG), mit 75 % der regelmäßigen wöchentlichen Arbeitszeit und dem Ziel der eigenen wiss. Weiterqualifikation (i. d. R. Promotion), zu besetzen.
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
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.
Assistant (F/M) in the Research and Teaching Employment Group at Krakow University of Economics
Requirements Research Field: Economics » International economics Education Level: Master Degree or equivalent Research Field: Management sciences » Other Education Level: Master Degree or equivalent hold at least a master's degree, master's degree in engineering or equivalent, and have a predisposition for conducting research and are prepared for teaching work. knowledge of topics related to the subject matter of the courses taught, as well as research interests related to international entrepreneurship or the internationalization of businesses. very good spoken and written English; for foreign nationals, also good spoken and written Polish. knowledge of the relevant educational acts and submission of statements regarding research activity and consent to be included among employees conducting scientific activity. Additional Information Benefits We offer: stable employment and interesting work opportunities for professional development and skill enhancement, including language courses participation in projects, scholarships, and academic conferences, including those held abroad salary in accordance with the Remuneration Regulations for Employees of the University of Economics in Krakow the option to participate in the employee pension plan and group pension insurance access to sports activities for employees work in the center of Kraków, with free employee parking on the Campus grounds Selection Process The course of the selection process: Formal evaluation of the submitted documents. Selection of candidates who meet the formal requirements described in the competition announcement. Decision of the Competition Committee on recommending a candidate. Final decision regarding hiring of the recommended candidate made by the Rector. All candidates will be notified when the recruitment process is complete. Work Location(s) Company/Institute: Krakow University of Economics Country: Poland City: Kraków Street: Rakowicka 27 Postal Code: 31-510 Contact E-Mail: kwiecied@uek.krakow.pl Website: Krakow University of Economics Applications to the competition should be submitted electronically to the e-mail address: kwiecied@uek.krakow.pl with “Assistant in the Department of International Trade” in the message subject line. Applications that arrive after the deadline will not be considered. The expected date of communicating the competition results is: September 2026. Planned full-time employment from 1 October 2026 for a period of two years.
Offer Description Rector of the Krakow University of Economics announces the competition number RZ.1101.9.2026 for the position of an assistant (F/M) in the research and teaching employment group on full-time in the discipline of economics and finance at the Department of International Trade of the Institute of Economics of the College of Economics and Finance.
4th Finance and Business Analytics Conference 5th-7th September 2026
Dates and venue 5th-7th September 2026 Venue: Sheraton Rhodes Resort, Ixia, Ialyssos Avenue, Rhodes 851 00, Greece Areas of interest Actuarial Mathematics, Asset Pricing, Banking and Financial Institutions, Behavioural Finance, Business Analytics, Commodities and Energy Economics, Corporate Finance and Governance, Decision Analysis in Finance, Empirical Finance, Fintech, Financial Markets, Financial Economics, Financial Mathematics, Forecasting, Green Finance and Sustainability, Insurance Analytics and RegTech, Operational Research in Finance, Wealth Management Keynote speakers Professor Agostino Capponi Agostino Capponi is a Professor of Industrial Engineering and Operations Research at Columbia University, with a courtesy appointment at the Columbia Business School. He is also the director of the Center for Digital Finance and Technologies, and a member of the Data Science Institute. Agostino's research interests are in market microstructure, financial technology, economic networks, and machine learning in finance. Agostino's research has been published in major journals of his field, including Review of Financial Studies, Journal of Financial Economics, Journal of Political Economy, Journal of Monetary Economics, Management Science, Operations Research inter alia. Agostino is a fellow of the Crypto and Blockchain Economic Research Forum, an academic fellow of the Luohoan Academy established by the Alibaba Group, and external research fellow at the Fintech@Cornell Center. Agostino's research has been funded by major public agencies including the NSF, DARPA, U.S. Department of Energy, and private agencies and corporations including J.P. Morgan, IBM, Ripple, the Ethereum Foundation, the Institute for New Economic Thinking, the Global Risk Institute, the Clearpool Group, and the OCP Group. Agostino is an Editor of Management Science in the Finance Department and of Operations Research in the Financial Engineering Department, while he has served as editor or associate editor amongst others in Finance and Stochastics, Mathematical Finance, SIAM Journal on Financial Mathematics and Operations Research Letters. Professor Michelle Lowry Michelle Lowry is the TD Bank Professor of Finance at the LeBow School of Business, Drexel University. In addition, she has been a visiting professor at HEC, the Wharton School, and INSEAD. She is an editor of the Review of Corporate Finance Studies, and past associate editor of both the Journal of Financial Economics and the Review of Financial Studies. She is a founding member of AFFECT (Academic Female Finance Committee), which strives for gender equality among the field of finance academics. Currently, she serves as a member of the AFFECT advisory board. She has served as President of the Financial Management Association (FMA), a director of the American Finance Association (AFA), and a director of the European Finance Association (EFA). Her research focuses on a variety of issues in empirical corporate finance, including initial public offerings, corporate governance, shareholder voting, environmental and social issues, regulation, lobbying, and mergers. She is particularly interested in the ways that companies’ corporate governance affects their performance around corporate events. Her research also relates to the effects of policy on firm outcomes, in particular regulation related to firm governance and shareholder voting. Her research has been published in top finance journals, including the Journal of Financial Economics, the Review of Financial Studies, and the Journal of Finance. She is the winner of the 2021 Jensen Prize, for Best Paper published in The Journal of Financial Economics in corporate finance and organization, and the 2025 Brattle Prize (distinguished paper) by the Journal of Finance in corporate finance. Her research has attracted attention in the popular press, with cites in the Wall Street Journal, NPR's Morning Edition, Forbes, and the Economist. Publication opportunities Annals of Operations Research The conference organisers in liaison with the Editor of Annals of Operations Research, will invite conference participants to submit high-quality papers to a special issue. The standard submission process of the journal will apply. Journal of Forecasting The conference organisers and the Editors of Journal of Forecasting will invite conference participants to submit high-quality papers to a relevant special issue after the event is completed. The standard submission process of the journal will apply. Please submit your papers and register through the website of the conference. The submission deadline is 1st August 2026. The Early bird registration deadline is 31st of May 2026. The final registration deadline for accepted papers is 15th August 2026.
Join us in Rhodes, Greece on 5th-7th September 2026 for the Finance and Business Analytics Conference and experience three days of learning and networking. Adam Smith Business School, University of Glasgow and Bayes Business School of City St George’s, University of London will be hosting their fourth joint conference in Rhodes, Greece. We cordially invite esteemed academics, researchers, and professionals all over the world to submit innovative contributions in all areas of quantitative finance and business analytics. The conference is sponsored by the WARDS fund, University of Glasgow.
Full-time Faculty Position in Economics (Microeconomics and Applied Microeconomics)
Job details Teaching and administrative responsibilities: Teaching undergraduate courses in Economics and related areas (Faculty members are expected to teach five "koma" per semester, with one "koma" being a 105-minute class meeting per week.) The teaching load includes: Behavioral Economics (EC3019) or Industrial Economics (EC3099) Microeconomics (EC2066) or “Mathematics 1 (MT105a - Half course) and Statistics 1(ST104a - Half course)” Other undergraduate lectures and seminars Contributing to administration and curriculum development of SLAS. Duties pertaining to university entrance examinations and committees. Academic supervision and pastoral care of students. Work location 176-8534 Tokyo 1-26-1, Toyotama-kami, Nerima-ku, Tokyo 176-8534 Japan Wages The salary will be determined based on academic background, teaching career, and work experience, as per the school's regulations. Application requirements Qualifications: Ph.D. in Economics or a closely related field required at the time of appointment. Must have sufficient command of English to effectively teach undergraduate courses in English. Proficiency in Japanese preferred. Application period 2026/07/02 - 2026/10/31 Deadline for receipt Contact details Musashi University Administrative Affairs Division Staff in charge of School of Liberal Arts and Sciences Email: job6@sec.musashi.ac.jp Notes Musashi University is committed to creating an inclusive environment respecting all individuals in academic work and related activities.
Background of the recruitment and description of the project The School of Liberal Arts and Sciences (SLAS) at Musashi University invites applications for a tenured, tenure-track, or fixed-term position in Economics, focusing on Microeconomics and Applied Microeconomics. The successful candidate will play a central role in SLAS’s Parallel Degree Programme (PDP) in partnership with the University of London (UoL), through teaching contributions to BSc Economics and BSc Economics and Management. Applications are welcome from scholars with a strong research agenda and publication record and demonstrated excellence in teaching undergraduate courses in English.
Tor Vergata Ph.D. Conference in Economics
We welcome submissions from all areas of economics, both theoretical and applied. Participants will have the opportunity to present their work and receive constructive feedback from an experienced discussant, chosen from a pool of faculty members and senior PhD candidates. The agenda includes a keynote speech on “AI and Competition in Agentic Markets” by professor Giacomo Calzolari (European University Institute) and a social dinner on the first day. Lunch and coffee breaks will be provided throughout the conference. There is no participation fee. Participants are expected to cover their own travel and accommodation costs. Important Dates Submission by the 15th of September, 2026 Acceptance notification (on a rolling basis) by the 20th of September, 2026 To submit your paper, please send an email to phd.conference@def.uniroma2.it with the subject line “PhD Conference TV 2026 - Submission”. In the email, include your full name, affiliation, and attach a PDF of your paper or an extended abstract. For any inquiries, please contact us at phd.conference@def.uniroma2.it. We look forward to receiving your applications and welcoming you to Rome. This Conference is funded by the MUR Excellence Grant of the Department of Economics and Finance.
We are pleased to invite submissions to the 3rd PhD Conference in Economics at the University of Rome Tor Vergata. This two-day event offers a stimulating and collegial environment for PhD students and recent graduates to present their research, exchange ideas, and network with peers and faculty across a wide range of fields in economics.
Postdoctoral Research Fellow or Social Science Research Scholar at Stanford (USA) or Heidelberg University (Germany)
The team led by Pascal Geldsetzer at Stanford University is looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences) to help us expand our work on the link between shingles vaccination and dementia/ cognition (see: https://www.nature.com/articles/s41591-026-04474-8), as well as the relationship between vaccines, infections, and dementia more generally. Data sources for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and epidemiological cohort studies. The researcher will be expected to publish in high-impact general science and clinical journals. We are looking for someone to start as soon as possible but there is no specific deadline for the application – we hire on an ongoing basis. We also partner with Heidelberg University for candidates interested in being based in Germany. Remote working options are possible; on-site at Stanford or Heidelberg are of course welcome, too. Required Qualifications: • Doctoral degree with quantitative training (including causal inference) or relevant research experience • Strong coding skills in R, Stata, or other statistical software package. • Good communication skills in English. This is a two-year position with strong possibility of renewal. We also offer attractive opportunities for those interested in a longer-term career in academia that is not on a faculty tenure track. Application Instructions: Please send a CV (no cover letter or letters of reference required) by email to pgeldsetzer@stanford.edu. Please only apply if you would seriously consider this opportunity.
We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences) to help the Geldsetzer lab expand its work on the link between shingles vaccination and dementia (see: https://www.cell.com/cell/fulltext/S0092-8674(25)01256-5; https://www.nature.com/articles/s41586-025-08800-x; https://jamanetwork.com/journals/jama/fullarticle/2833335).
Professor or Associate Professor or Associate Professor (Lecturer) Tenure-track position
Job description Background of the recruitment and description of the project The Graduate School of Economics, Osaka University, seeks a wide range of talents in the field of Macroeconomics. Work content and job description Research in the Macroeconomics Educational activities for undergraduate and graduate school students. For graduate students, in principle, the successful applicant will be required to teach two courses, including Macroeconomics I (2 credits) and Macroeconomics II (2 credits). For undergraduate students, in principle, the successful applicant will be responsible for teaching Macroeconomics (4 credits) and a general education course (2 credits). For a professor, in principle, teaching at least 4 credits for graduate students and 6 credits for undergraduate students for each year is required. For an associate professor, in principle, teaching at least 4 credits for graduate students each year, and at least 6 credits and 4 credits for undergraduate students every other years is required. For an Associate Professor (Lecturer) *Tenure-track position , in principle, teaching at least 4 credits for graduate students and 4 credits for undergraduate students each year is required. Administrative duties at the Graduate School of Economics and the University of Osaka. Assigned department Existing departments Department of Economics, Graduate School of Economics Job type Professor level Associate Professor Lecturer level Wages Professor level Annual Salary : 5 million yen ~ Associate Professor Annual Salary : 4 million yen ~ Lecturer level Annual Salary : 3 million yen ~ 4 million yen Working hours 08:30-17:15 Break time : 12:15-13:00 Holidays Based on “Regulations Pertaining to Working Hours, Holidays and Leave for National University Corporation Osaka University Staff” Overtime and other explanations : The Discretionary Labor System, Special Work Type will be applied with the applicant’s consent (deemed working hours: 8 hours a day) Application requirements Qualifications Education and Degree Requirements Ph.D. / Doctor / Others A doctoral degree (or must obtain a doctoral degree by the time of employment) Work experience Proficiency in Japanese at a business level or higher, and the ability to teach Graduate School of Economics courses in English Employment Type Regular employee Contract period Professor level: Tenured - Non-tenure track Probationary period present 6 months. Associate Professor Tenured - Non-tenure track Probationary period present 6 months. Lecturer level Nontenured - Tenure-track The initial term of employment is five years, with the tenure review conducted by the end of the fourth year. Probationary period present 6 months. Work location 560-0043 Osaka 1-7, Machikaneyama, Toyonaka Graduate School of Economics, The University of Osaka (Toyonaka Campus). Application Considerations Considerations for conducting interviews (e.g., those who live far away, such as overseas) Applicants who are unable to visit Osaka University may request an online interview. Others Please note that unsuccessful applicants will not be contacted. Number of hired 1 person(s) Hiring date : 2027/04/01 Starting date : 2027/04/01 Application period 2026/07/02~2026/08/31 Deadline for receipt The application deadline is August 31, 2026, or until the position is filled. Application method Attached documents Other online application forms Applications should be submitted in English or Japanese and include the following: For Professor or Associate Professor A Curriculum Vitae (including educational background, career history, and a list of research achievements). *Any form is acceptable. Major original papers (up to five). Name, affiliation, and contact information of two professional references who are willing to be contacted. For Associate Professor (Lecturer) Tenure-track position A Curriculum Vitae (including educational background, career history, and a list of research achievements). * Any form is acceptable. Major original papers (up to five). Three letters of recommendation. *Recommendation letters must be submitted directly by the recommenders to the above email address. * Please ensure that adequate security measures should be taken before sending any attached files. * Personal information in the application documents will only be used for the purpose of screening and hiring procedures and will not be disclosed to any third party. Return of application documents We will dispose of all application documents responsibly. E-mail Application Accept: joe2026(at)econ.osaka-u.ac.jp * Please change (at) to @ and send it. Recruiting Institution's Web application system Not available Selection / Notification of result Selection Initial document screening will be followed by interviews. Notification of result Selected applicants will be notified within three weeks following the application deadline. Contact details The University of Osaka Recruiting Committee for the Faculty Position in Macroeconomics, Graduate School of Economics, The University of Osaka Faculty in charge: joe2026@econ.osaka-u.ac.jp If you have any questions regarding this matter, please contact us by e-mail.
The Graduate School of Economics, Osaka University, seeks a wide range of talents in the field of Macroeconomics.
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
At the University of Göttingen -Public Law Foundation-, RTG 3209 China-GRASP: China´s Geoeconomic Rise and the Accumulation of Structural Power - Goettingen - Kiel, there are 11 positions as PhD researcher (all genders welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2026. The postions are limited to 09/30/2029. Are you fascinated by how China is reshaping the global order — and want to research it systematically? Our Research Training Group (RTG) brings together scholars from Economics, Political Science, and Area Studies at the University of Göttingen and the Kiel Institute for the World Economy to examine China’s geoeconomic rise in international politics. We study how China accumulates and exercises structural power across four interconnected domains: security, production of goods and services, finance and credit, and knowledge and information — and how states, firms, and societies respond. The framework of structural power, rooted in international political economy, gives your research a theoretically rigorous and policy-relevant foundation. Whether your background is in quantitative methods, qualitative research, or both, you will find a home here. A particular strength of our group is working with innovative data sources, including Chinese-language materials — giving you the opportunity to contribute original empirical findings where systematic data is still scarce. Your research will be situated within one of our 15 Focus Areas, grouped into five Research Clusters — giving your PhD project a clear thematic home while connecting it to a broader intellectual agenda — spanning China’s role in regions along the Belt and Road, in Africa, Eurasia, and Europe. While each Research Cluster has its own thematic focus, they are designed to speak to each other, and many projects productively bridge two or more clusters. As a PhD researcher, you will design and carry out your own original PhD project within this broader framework. You will engage with cutting-edge debates, develop advanced methodological skills, and join a cohort of researchers working on one of the most consequential topics in contemporary international relations. Our goal is to gain a systematic understanding of China’s geoeconomic rise by using an innovative international political economy approach which explores how China’s structural power accumulates. What we offer Joining our RTG means becoming part of a dynamic, internationally connected research community at one of Europe’s largest centers for social science research on Asia. Here is what you can expect: - Your own PhD project — supervised personally and tailored to your disciplinary background and research goals - A stimulating intellectual environment — regular exchange with leading scholars and practitioners in international political economy, China studies, and related fields - Interdisciplinary training — through collaborative coursework bridging Economics, Political Science, and Area Studies - An international network — with opportunities for research stays abroad through the University of Göttingen’s and the Kiel Institute’s global partnerships - Dedicated career development and mentorship — to prepare you for academic and non-academic careers - A welcoming, diverse community committed to equal opportunities — we actively encourage applications from underrepresented groups The RTG is hosted at the University of Göttingen and its Centre for Modern East Asian Studies, which together form a hub for social science research on Asia in Europe. Who we are looking for We welcome applications from curious, ambitious researchers who want to make an original contribution to understanding China’s role in the world. You should bring: - A completed Master’s degree (or equivalent, graded good or very good) in a relevant discipline — including Economics, Political Science, International Relations, Asian or China Studies, Development Studies, Global Governance, International Security, Agricultural Studies, or related fields - Strong methodological skills, quantitative or qualitative, suited to your chosen Focus Area - Fulfillment of the requirements to the Doctoral Program for your discipline at the University of Göttingen: https://www.uni-goettingen.de/en/54551.html - Fluency in written and spoken English (the RTG’s working language); advanced knowledge of the Chinese language will be an asset (and will be required for some positions) - A self-designed, innovative, and feasible research proposal that makes a clear contribution to one or more of our Research Clusters (see below) Please submit the following in English (required for CV, motivation letter and research proposal) or German as PDFs: - CV - Motivation letter (max. 1 page) explaining why you want to pursue your PhD within this RTG - Research proposal outline (max. 2 pages) addressing a specific Focus Area — you may submit up to two proposals and indicate an interest in altogether three Focus Areas - Writing sample (approx. 10 pages, e.g. a chapter from your Master’s thesis, seminar thesis, or an academic publication) - List of publications (if applicable) - Language certificates - Certificate of the academic university degree(s) and transcripts of record - Names and contact details of two academic referees - Responses to the questions in the application portal (all questions need to be responded to) Further information If you have any questions regarding the advertised positions or RCs, please contact the main supervisor(s) involved (see the RC descriptions online: https://uni-goettingen.de/de/research+clusters/708380.html ) If you have any general questions regarding the application process, please send an e-mail to: rtg3209@uni-goettingen.de More information on the RTG 3209 and its RCs can also be found online at: https://uni-goettingen.de/de/about+/708378.html Application deadline and procedures: Please upload your application as one consolidated PDF file by July 24, 2026 via the University of Göttingen’s application portal. This can be accessed via the following link: : http://obp.uni-goettingen.de/de-de/OBF/Index/76523 The first round of interviews is scheduled to take place online from August 10 to 14, 2026, and the second round from August 18 to 20, 2026. Depending on geographical distance and practical feasibility, applicants will be invited to in-person interviews. Travel expenses may be reimbursed up to a maximum of 300 euros. The RTG 3209 is strongly committed to promoting equal opportunities and diversity. We consider a diversity of perspectives as particularly enriching of our work, especially from among those underrepresented in academia (or some of the disciplines involved in the RTG’s work). We therefore welcome applications from all individuals irrespective of gender, social status, religion, ethnic origin, nationality or migration background. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant. Please upload your application in one pdf file including the usual documents until 7/24/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76523. For more information get in touch with Laura Fuhrmann directly via E-Mail: laura.fuhrmann@uni-goettingen.de, Tel. 05513924140 . Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)
The University of Göttingen seeks 11 PhD researchers in the context of its Research Training Group on China's geoeconomic rise.