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number of items: 20
total items: 118
item list element: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
item list element: GTAPinR Course
item list element: 2027 Short Course in Dynamic Global Trade Analysis
item list element: Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
item list element: Volkswirt/in (m/w/d)
item list element: MSc in Economics
item list element: Senior Business Data Analyst
item list element: Variance
item list element: Accounting Officer
item list element: Postdoctoral Research Fellow or Social Science Research Scholar at Stanford (USA) or Heidelberg University (Germany)
item list element: Master of Science in Applied Economics
item list element: Research Assistant: Foreign and Defense Policy; Demographics and Political Economy
item list element: Master Course in Global Development at the Department of Economics - Roma Tre University
item list element: Master Course in Economics at the Department of Economics - Roma Tre University
item list element: (Senior) Research Data Analyst, Housing Center
item list element: PhD in Economics - University of Pavia & University of Milan - Admission to the 2026/2027 Academic Year (Cycle 42)
item list element: Predoctoral Fellow in Labor Economics
item list element: PhD student position in Operations Management — KU Leuven
item list element: How AI is Re-shaping Economics Postgraduate Education - An Insider View from a Current PhD Student
item list element: PhD in Economics 2026/2027 - Five fully funded 4-year scholarships available
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Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
type: Course
title: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
description: 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 trans…
disambiguating description: 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.
date posted: 2026-01-05T10:20:22Z
date modified: 2026-08-20T08:10:45Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-09-30T08:00:00Z
end date: 2026-09-30T11:30:00Z
hiring organization: TStat Training
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Geospatial Data
keywords: Spatial Maps
keywords: Stata
keywords: Geoeconomics
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: urbanruraltransportationeconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Urban, Rural and Transportation Economics (JEL R)
more info url: https://www.tstat.eu/formazione/visual-analysis-spatial-data-mapping-stata-ol/

GTAPinR Course
type: Course
title: GTAPinR Course
description: GTAPinR Course "Running the GTAP Model using R packages HARr and tabloToR" General Information Dates: Open enrollment Learners can enroll in this course at any time. Once payment has been received and access to the learning management system has been granted, learners will have 56 days to complete the course before access ends. Since the course is self-paced, instructor assistance is not available during or after the course. No feedback or grading beyond automated assessments will be provided. Location GTAPinR is delivered fully online. There is no onsite component to this course. Offered by Center for Global Trade Analysis, Purdue University Enrollment Fees $625 Professional (Developed Country) $470 Professional (Developing Country) $315 Student (Developed Country) $160 Student (Developing Country) Why You Should Enroll Enhance your GTAP skills with open-source R tools designed to streamline simulation and analysis! Execute the GTAP Model directly in R - Learn how to run GTAP simulations end-to-end within the R environment using the open-source HARr and tabloToR packages Streamline data handling and model workflows - Gain practical skills in reading and writing GTAP data, solution files, and header arrays directly in R, enabling more efficient experiment setup and result processing Build practical skills for GTAP workflows - Build hands-on skills in GTAP workflows – setting closures, applying shocks, solving the model, and extracting results all in R environment Strengthen policy analysis with advanced visualization - Turn outputs into insight with R visualization workflows, improving interpretation, communication, and presentation of simulation results Flexible, self-paced learning for busy schedules - With open enrollment and a 56-day completion window, the course is designed to fit into busy schedules while providing structured modules, practical exercises and assessments Course Content This course aims to empower GTAP users with practical tools in R statistical…
disambiguating description: Enroll in the GTAPinR Course to enhance your GTAP skills with practical tools in R statistical software for policy making.
date posted: 2026-05-24T14:03:06Z
date modified: 2026-08-22T14:10:45Z
valid through: 2027-06-24T21:59:59Z
hiring organization: Purdue University
job location: Place
  address: PostalAddress
    address locality: West Lafayette
    address region: Indiana
    address country: US
job location type: TELECOMMUTE
employment type: online
language: en
keywords: online course
keywords: computable general equilibrium modeling
keywords: GTAP
keywords: R statistical software
type: course
disciplines: microeconomics
disciplines: othereconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: economicsystems
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: economicthoughtmethodology
discipline labels: Microeconomics (JEL D)
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Economic Systems (JEL P)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Economic Thought & Methodology (JEL B)
more info url: https://www.gtap.agecon.purdue.edu/events/GTAPinR/

2027 Short Course in Dynamic Global Trade Analysis
type: Course
title: 2027 Short Course in Dynamic Global Trade Analysis
description: 2027 Short Course in Dynamic Global Trade Analysis "Applied General Equilibrium Analysis using a Dynamic Multi-Region Model" General Information Course Dates (Course phases are not offered independently.) Phase 1 (Online): January 18 - February 28, 2027 Phase 2 (Onsite): March 8-12, 2027 Application Deadline August 30, 2026 Location Purdue University, 403 Mitch Daniels Blvd., West Lafayette, Indiana 47907 USA Offered by Center for Global Trade Analysis, Purdue University Enrollment Fees $5,000 USD Professional (Developed Country) $3,750 USD Professional (Developing Country) $2,500 USD Student (Developed Country) $1,250 USD Student (Developing Country) Why You Should Apply Move Beyond Static Analysis: Model the Global Economy Dynamically! Master dynamic CGE analysis with the GTAP-RD framework - Analyze how the impact of trade and climate policy shocks unfold over time. Develop the skills to design, run, and interpret recursive dynamic simulations using GTAP-RD Models. Address High-Impact Global Policy Challenges - Sharpen your skills to produce policy-relevant analysis. Apply your modeling toolkit to mentored capstone projects focused on real-world impacts of major trade blocks and climate frameworks. Implement real-world baseline scenarios - Learn how to construct business-as-usual baselines using Shared Socioeconomic Pathways (SSPs), projections, and dynamic closures for credible long-run policy analysis. Build proficiency in the dynamic software - Gain extensive hands-on experience with RunDynam through guided labs that translate conceptual model features into operational workflows for scenario setup, policy execution, and result analysis. Learn directly from GTAP experts - Combine flexible online preparation with an immersive onsite residency at Purdue University, collaborating with peers and GTAP experts to deepen understanding and refine your own applications. Course Content The objective of this course is to introduce participants to dynamic economic analysis …
disambiguating description: Join the GTAP Dynamic Short Course at Purdue University for a comprehensive exploration of dynamic economic analysis.
date posted: 2026-05-24T14:16:17Z
date modified: 2026-08-22T14:20:45Z
valid through: 2026-08-30T21:59:59Z
start date: 2027-01-18T08:00:00Z
end date: 2027-03-12T22:59:59Z
hiring organization: Purdue University
job location: Place
  address: PostalAddress
    address locality: West Lafayette
    address region: Indiana
    address country: US
employment type: onsite
language: en
keywords: Economics
keywords: dynamics
keywords: baselines
keywords: computable general equilibrium modeling
keywords: Purdue University
keywords: GTAP
keywords: Trade Analysis
type: course
disciplines: microeconomics
disciplines: othereconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: economicsystems
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: economicthoughtmethodology
discipline labels: Microeconomics (JEL D)
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Economic Systems (JEL P)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Economic Thought & Methodology (JEL B)
more info url: https://www.gtap.agecon.purdue.edu/events/Dynamic_Courses/2027/

Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
type: JobPosting
title: Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
description: What you can look forward to: - A “we, not me” culture – a highly collaborative, team-oriented work atmosphere with open and honest communication - A “can do” spirit – we are looking for people who want to make a difference - Exciting research projects for doctoral studies and intensive exchange with the supervising professors - Close integration of theory and practice Your responsibilities - Conduct quantitative data analysis, support empirical research projects, and manage, clean, and analyze survey and field data using statistical software - Apply artificial intelligence (AI), blockchain, and digital technologies to support innovative research projects, particularly in agricultural and related fields - Collaborate with researchers, prepare research materials, and ensure accurate documentation of research findings - Support the preparation, supervision, and delivery of courses, tutorials, and guidance for bachelor’s and master’s theses - Contribute to scientific and practice-oriented publications, academic collaborations, and the communication of research results Your profile - A strong Master’s degree (good to very good) in Economics, Mathematics, Computer Science, or a closely related quantitative discipline, demonstrating solid analytical, statistical, and methodological expertise - Strong quantitative and analytical skills with experience in empirical research and statistical analysis - Proficiency in statistical software such as MATLAB, R, Stata, or similar programming tools - Experience with randomized controlled trials, field survey data, and research methods in development economics - Highly motivated, responsible, and independent researcher with the ability to work effectively in an academic environment We seek the best candidates. In doing so, we value personality, talent, determination, and character. We expressly emphasize that all individuals—regardless of gender, nationality, ethnic or social background, religion/ideology, disability, age, or sexual …
disambiguating description: Enrich EBS. We are a private university dedicated to educating tomorrow’s leaders who strive to make a difference in the world -economically, socially, and ecologically. We aim to help shape global transformation through outstanding knowledge transfer and the promotion of strong interpersonal skills. At EBS Business School, EBS Law School, and EBS Executive School, a total of 2,200 students and professional development participants engage in learning and research. With our education philosophy of Challenge-Based Learning, personalized coaching, extracurricular engagement, and a powerful alumni network, EBS holds a unique position in the German higher education landscape. We are part of SRH—a leading provider of education and healthcare services with 17,000 employees. SRH operates private universities, educational centers, schools, and hospitals. We are looking for a research assistant (m/f/d) for the Chair of Finance (Prof. Raša Karapandža Ph.D.) at EBS Business School, starting September 1st, 2026.
date posted: 2026-08-18T10:00:00Z
date modified: 2026-08-24T09:50:45Z
start date: 2026-09-01T08:00:00Z
hiring organization: EBS University of Business and Law
job location: Place
  address: PostalAddress
    address country: DE
employment type: onsite
language: en
keywords: EBS University
keywords: Academic Jobs in Finance
keywords: Teaching Assistant Finance
keywords: Research Assistant Finance
type: job
disciplines: economics
disciplines: financialeconomics
disciplines: socialscience
disciplines: finance
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Economics and Social Sciences
discipline labels: Finance
more info url: https://www.srh-karriere.de/alle-jobs/stellenangebot/research-teaching-assistant-finance-mfd-part-time-70-oestrich-winkel

Volkswirt/in (m/w/d)
type: JobPosting
title: Volkswirt/in (m/w/d)
description: 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 – Leibn…
disambiguating description: 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
date posted: 2026-07-27T08:00:00Z
date modified: 2026-08-15T08:00:45Z
valid through: 2026-08-31T21:59:59Z
hiring organization: RWI – Leibniz-Institut für Wirtschaftsforschung
job location: Place
  address: PostalAddress
    address locality: Essen
    address region: North Rhine-Westphalia
    address country: DE
employment type: onsite
language: de
keywords: economist
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)

MSc in Economics
type: EducationalOccupationalProgram
title: MSc in Economics
description: 7 Reasons for Choosing the Master in Economics at Iscte Business School 1. Don’t miss the opportunity of being part of one of the most reputed Economics programs in Europe Ranked 33rd in its category, among the Top 200 Best Master Programmes, in Western Europe. 2. Learn from the best methodologies and software Interact regularly with reputed practitioners who will offer their vision and experience in a series of workshops aimed at discussing and analyzing economics topics; You will be challenged to understand complex current and future economic issues that affect everyone’s livelihood; You will build the skills needed to contribute to economic debates and policy choices; You will learn to handle advanced modeling techniques and use computational software which is integrated into regular classes (for example PYTHON, R, STATA); You will have access to a set of comprehensive databases that will support you on your thesis and research. 3. Benefit from a reputed faculty, with an engaging learning style The faculty of Iscte Business School has authored more than 100 books in different management disciplines, many of which are now required reading at other Portuguese universities; There is a close working relationship between students and faculty and students benefit from weekly contact hours, continual email contact and a sustained relationship with the faculty throughout their professional lives; Both semesters in the first year provide solid foundations in the core subjects (microeconomics, macroeconomics and econometrics) and equip you with the tools of economic analysis while allowing the choice of 3 electives in the field of Economics and other related areas, such as Economics of Banking and Financial Markets, Monetary Theory and Policy, Applied Economic Modelling or Computation for Economics and Business. 4. Thrive in a welcoming culture where personal development and creativity are encouraged Participate on the personal development programme (PdP) that enables stud…
disambiguating description: The MSc in Economics is a full-time (evening classes), two-year Program, fully taught in English. It is is recommended for students with a good technical background who wish to obtain a rigorous, in-depth education in economic theory and policy at the graduate level, to prepare a successful career as professional economists working for central banks, the banking industry, government institutions, and international organisations or as economic advisors and financial consultants. It also provides rigorous preparation for students who wish to advance to a PhD program.
date posted: 2019-04-15T07:00:00Z
date modified: 2026-07-30T13:07:14Z
valid through: 2026-08-26T21:59:59Z
start date: 2026-09-01T08:00:00Z
hiring organization: ISCTE Business School
job location: Place
  address: PostalAddress
    address locality: Lisbon
    address region: Lisbon
    address country: PT
employment type: onsite
language: en
keywords: microeconomics macroeconomics
keywords: economics
keywords: masters programs
keywords: masters
keywords: Econometrics
type: program
disciplines: othereconomics
disciplines: microeconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: healtheducationwelfareeconomics
disciplines: economicsystems
disciplines: urbanruraltransportationeconomics
disciplines: economichistory
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: financialeconomics
disciplines: laweconomics
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: businesseconomics
disciplines: economicthoughtmethodology
disciplines: industrialorganization
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Microeconomics (JEL D)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: Economic Systems (JEL P)
discipline labels: Urban, Rural and Transportation Economics (JEL R)
discipline labels: Economic History (JEL N)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Financial Economics (JEL G)
discipline labels: Law and Economics (JEL K)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Business Economics (JEL M)
discipline labels: Economic Thought & Methodology (JEL B)
discipline labels: Industrial Organization (JEL L)
more info url: https://ibs.iscte-iul.pt/course/51/master-msc-in-economics

Senior Business Data Analyst
type: JobPosting
title: Senior Business Data Analyst
description: 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 stakeholde…
disambiguating description: 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.
date posted: 2026-08-03T08:51:35Z
date modified: 2026-08-03T09:00:00Z
valid through: 2026-08-27T21:59:59Z
hiring organization: Royal London
job location: Place
  address: PostalAddress
    address country: GB
employment type: partiallyonline
language: en
keywords: data analysis
type: job
disciplines: socialscience
disciplines: datascience
discipline labels: Economics and Social Sciences
discipline labels: Data Science
more info url: https://jobs.royallondon.com/job/Alderley-Edge-Senior-Business-Data-Analyst/14636-en_GB/

Variance
type: CreativeWork
title: Variance
description: 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”,…
disambiguating description: 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.
date posted: 2026-07-19T09:35:33Z
date modified: 2026-08-17T14:31:10Z
employment type: onsite
language: en
keywords: Bias
keywords: Economics Terms
keywords: Variance
type: terms
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Statistics

Accounting Officer
type: JobPosting
title: Accounting Officer
description: 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 …
disambiguating description: CERIC-ERIC is seeking an experienced accountant for a full-time position with the possibility of remote work.
date posted: 2026-07-16T12:25:17Z
date modified: 2026-07-16T12:30:00Z
hiring organization: CERIC-ERIC
job location: Place
  address: PostalAddress
    address country: IQ
employment type: onsite
language: en
keywords: Economics
type: job
disciplines: socialscience
disciplines: finance
discipline labels: Economics and Social Sciences
discipline labels: Finance
more info url: https://www.ceric-eric.eu/2026/07/08/new-open-position-at-ceric-accounting-officer/

Postdoctoral Research Fellow or Social Science Research Scholar at Stanford (USA) or Heidelberg University (Germany)
type: JobPosting
title: Postdoctoral Research Fellow or Social Science Research Scholar at Stanford (USA) or Heidelberg University (Germany)
description: 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.
disambiguating description: 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).
date posted: 2025-12-18T11:38:47Z
date modified: 2026-07-14T09:00:45Z
start date: 2027-01-01T08:00:00Z
hiring organization: Stanford University
job location: Place
  address: PostalAddress
    address locality: Stanford
    address region: California
    address country: US
employment type: onsite
language: en
keywords: econometics
keywords: health
keywords: dementia
keywords: prevention
type: job
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: healtheducationwelfareeconomics
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: Statistics
more info url: https://www.nature.com/articles/s41591-026-04474-8

Master of Science in Applied Economics
type: EducationalOccupationalProgram
title: Master of Science in Applied Economics
description: The University The University of Neuchâtel was established in 1838. In 2024, we have been ranked among the top 26 small universities (< 5000 students) worldwide by Times Higher Education and among the top 3 Universities to do a master's by Inomics. We are dedicated to offering our students the best possible learning experience, with proximity between teaching staff and students being a priority. Neuchâtel enjoys a central location in Switzerland and a magnificent environment, near the lake and mountains. Zurich and Geneva can be reached in less than 1.5 hours by direct train connections. Courses and instructors The cohort size is below 20 students, which favors a profound learning experience and gives participants privileged contact with instructors. All courses are in English. They are taught by academic professors and practitioners, including PhD economists with a policy background at the World Trade Organization, the Swiss National Bank, the United Nations Conference on Trade and Development (UNCTAD), the Federal Department of Finance (FDF), and the State Secretariat for Economic Affairs (SECO). Structure of the program The full-time study program includes three semesters of courses (72 ECTS) and a master's thesis written during the third semster (18 ECTS), either on an academic topic (e.g. for students who wish to pursue a PhD) or as part of an internship. The program can be extended to six semesters to accommodate professional activities and family life. In addition, there is an option to set up a personalized study program for candidates planning to spend less than four days a week studying. Specializations Data Science Sustainability To obtain a specialization, students must complete a specific set of courses and a master's thesis on a topic in the field. However, students do not have to commit to a specialization before the end of the study program. The relevant courses are listed in the study plan. Fees Application fee: CHF 100. Tuition fee: CHF 515 per sem…
disambiguating description: There are still some slots available for the fall intake 2026. We therefore welcome applications until mid-August 2026. Our students will become expert users of the economics toolkit and apply it to the domain that interests them. We offer rigorous training in modern economic methods, focusing on real-world applications, not technical details. The program teaches economic expertise that is directly relevant in a professional environment. Students learn to use micro- and macroeconomic models for economic analysis and state-of-the-art empirical methods in cutting-edge software (e.g., R, Python, and Stata). In addition, they will be able to communicate evidence-based analyses competently to private and public stakeholders. Listen to what our former program director says about our program and philosophy.
date posted: 2021-01-07T10:55:19Z
date modified: 2026-07-02T07:00:45Z
valid through: 2026-11-30T22:59:59Z
hiring organization: University of Neuchâtel
job location: Place
  address: PostalAddress
    address locality: Neuchâtel
    address region: Neuchâtel
    address country: CH
employment type: onsite
language: en
keywords: data science
keywords: Neuchâtel
keywords: switzerland
keywords: applied economics
keywords: enrivonment
keywords: masters programme
keywords: big data
keywords: energy
keywords: climate change
type: program
disciplines: economics
disciplines: socialscience
disciplines: datascience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Data Science
discipline labels: General Economics (JEL A)
funding options: No
more info url: https://www.unine.ch/seco/formations/master-of-science-in-applied-economics/how-to-apply/

Research Assistant: Foreign and Defense Policy; Demographics and Political Economy
type: JobPosting
title: Research Assistant: Foreign and Defense Policy; Demographics and Political Economy
description: Overview The American Enterprise Institute (AEI) seeks a full-time, in-person research assistant to work with international political economy scholar Dr. Nicholas Eberstadt. The position’s major responsibilities include conducting research on topics in demographics and political economy. Assignments will include data collection and analysis, and administrative duties will include scheduling and organizing events, among other responsibilities. The anticipated start date for this position is as soon as possible. Soon-to-be graduates are welcome to apply. Responsibilities Core Responsibilities Research, write, and edit to support research and policy papers, studies, and reports on demographics, political economy, and economics. Collect and analyze data, provide background research, and write memos. Help plan, organize, and coordinate major public events and private meetings by inviting speakers, drafting public invitations, preparing materials, and coordinating all logistics with AEI’s Events department and media team. Manage long-term scholarly projects by drafting proposals, mapping timelines, and preparing regular progress reports for AEI management. Additional Responsibilities Coordinate various activities and ensure proper communication among AEI departments and teams including Government Relations, Academic Programs, Development, and media. Manage logistics and administrative tasks, including scheduling, tracking expenses, and planning and staffing public-facing events, private meetings, and roundtables. Qualifications A bachelor’s degree in economics, political economy, mathematics, or statistics (required) 0–2 years of previous experience, through either an internship or a paid position Proficiency in Python, R, or Stata (required) Skills in Microsoft PowerPoint and Excel (preferred) Data analysis skills (required) Strong writing and editing skills, excellent organizational skills, attention to detail, and facility with deadlines Benefits AEI offers generous be…
disambiguating description: The American Enterprise Institute (AEI) seeks a full-time, in-person research assistant to work with international political economy scholar Dr. Nicholas Eberstadt.
date posted: 2026-07-07T12:48:39Z
date modified: 2026-07-07T12:50:00Z
hiring organization: American Enterprise Institute
job location: Place
  address: PostalAddress
    address locality: Washington
    address region: District of Columbia
    address country: US
employment type: onsite
language: en
keywords: assistant
keywords: political economy
keywords: research
keywords: demographics
type: job
disciplines: economics
disciplines: socialscience
disciplines: labordemographiceconomics
disciplines: economicsystems
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Systems (JEL P)
more info url: https://careers-aei.icims.com/jobs/2621/research-assistant:-foreign-and-defense-policy--demographics-and-political-economy/job

Master Course in Global Development at the Department of Economics - Roma Tre University
type: EducationalOccupationalProgram
title: Master Course in Global Development at the Department of Economics - Roma Tre University
description: Key info Master's degrees at the department of Economics, Roma Tre University Applications are open now Application deadline: September 15th, 2026 Program duration: 24 months Attendance: on-campus How to apply https://www.uniroma3.it/int/education/enrolment/enrolment-with-a-foreign-qualification/ Get in Touch To find out more please visit https://economia.uniroma3.it/en/study/academic-offer/ or send an email to orientamento.economia@uniroma3.it The Department of Economics The Department of Economics was born in 1993 to promote training, research advancement and disseminate culture in the economic, law, mathematical and statistical fields, with a highly multidisciplinary approach. Now it encompasses around 50 lecturers, 15 research fellows, and 30 PhD students from different disciplines: economists, statisticians, jurists, mathematicians, and finance and marketing experts. A vibrant community connected to institutions and high-level academy around the world, with a strong orientation towards research networks and funds attraction. The campus has been designed and equipped to offer high-quality education with advanced digital technologies. The computer lab has two rooms with 85 workstations and a selection of scientific software. The Pierangelo Garegnani library has two large reading rooms, with 250 study stations disposed on two levels. A large collection of books is available for consultation and borrowing. Electronic databases allow accessing a large selection of scientific journals and data collections. The spaces outside the buildings and their terraces are extremely liveable and useful for socializing. The Department of Economics of Roma Tre University offers three Master’s degree programs: 1. Economics (with two curricula in English) 2. Environmental Economics, Labour and Sustainable Development (with one curriculum in English) 3. Economics and Management of Digital Transformation (in Italian) MASTER’S DEGREE IN ENVIRONMENTAL ECONOMICS, LABOUR AND SUSTAINABLE D…
disambiguating description: Summary The Department of Economics of Roma Tre University offers a Master’s degree program in Environmental Economics, Labour and Sustainable Development. Within the Master’s program, one curriculum is taught in English: Global Development. There is an opportunity to apply for DOUBLE DEGREE Programs.
date posted: 2024-06-17T14:07:08Z
date modified: 2026-06-23T11:42:10Z
job location: Place
  address: PostalAddress
    address locality: Rome
    address region: Lazio
    address country: IT
employment type: onsite
language: en
keywords: rome
keywords: economics
keywords: #romatre
keywords: #Globaldevelopment
keywords: #MA
keywords: #masterdegree
keywords: italy
type: program
disciplines: economics
disciplines: socialscience
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: General Economics (JEL A)
more info url: https://www.uniroma3.it/int/education/enrolment/enrolment-with-a-foreign-qualification/

Master Course in Economics at the Department of Economics - Roma Tre University
type: EducationalOccupationalProgram
title: Master Course in Economics at the Department of Economics - Roma Tre University
description: Key info Master's degrees at the department of Economics, Roma Tre University Applications are open now Application deadline: September 15th, 2026 Program duration: 24 months Attendance: on-campus How to apply https://www.uniroma3.it/int/education/enrolment/enrolment-with-a-foreign-qualification/ Get in Touch To find out more please visit https://economia.uniroma3.it/en/study/academic-offer/ or send an email to orientamento.economia@uniroma3.it The Department of Economics The Department of Economics was born in 1993 to promote training, research advancement and disseminate culture in the economic, law, mathematical and statistical fields, with a highly multidisciplinary approach. Now it encompasses around 50 lecturers, 15 research fellows, and 30 PhD students from different disciplines: economists, statisticians, jurists, mathematicians, and finance and marketing experts. A vibrant community connected to institutions and high-level academy around the world, with a strong orientation towards research networks and funds attraction. The campus has been designed and equipped to offer high-quality education with advanced digital technologies. The computer lab has two rooms with 85 workstations and a selection of scientific software. The Pierangelo Garegnani library has two large reading rooms, with 250 study stations disposed on two levels. A large collection of books is available for consultation and borrowing. Electronic databases allow accessing a large selection of scientific journals and data collections. The spaces outside the buildings and their terraces are extremely liveable and useful for socializing. The Department of Economics of Roma Tre University offers three Master’s degree programs: 1. Economics (with two curricula in English) 2. Environmental Economics, Labour and Sustainable Development (with one curriculum in English) 3. Economics and Management of Digital Transformation (in Italian) MASTER’S DEGREE IN ECONOMICS With our Master's Degree in Economics y…
disambiguating description: Summary The Department of Economics of Roma Tre University offers Master’s degree programs in Economics. Within the Master’s program, two curricula are taught in English: a) Economic Analysis; b) Structural change, inequality, and employment (EPOG); There is an opportunity to apply for DOUBLE DEGREE Programs.
date posted: 2024-06-17T14:05:43Z
date modified: 2026-06-23T11:41:15Z
valid through: 2026-09-15T08:00:00Z
hiring organization: Roma Tre University
job location: Place
  address: PostalAddress
    address locality: Rome
    address region: Lazio
    address country: IT
employment type: onsite
language: en
keywords: rome
keywords: masterdegree
keywords: economics
keywords: #romatre
keywords: #MA
keywords: italy
type: program
disciplines: economics
disciplines: socialscience
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: General Economics (JEL A)
more info url: https://www.uniroma3.it/int/education/enrolment/enrolment-with-a-foreign-qualification/

(Senior) Research Data Analyst, Housing Center
type: JobPosting
title: (Senior) Research Data Analyst, Housing Center
description: The AEI Housing Center seeks a full-time, in-person (senior) research or data analyst to assist in creating, managing, and analyzing large datasets to derive insights and inform US housing policy. Responsibilities will include creating, cleaning, and analyzing new datasets; conducting statistical analyses; and helping draft research papers and other materials. The weight of these responsibilities may vary depending on whether the position is filled by a (senior) research analyst or (senior) data analyst. A (senior) research analyst will focus on researching and writing, and a (senior) data analyst will focus on analyzing data. This position requires superior technical and quantitative skills, the capacity to develop additional skills, and high proficiency in writing, research, communication, and organization. The ideal candidate will have a demonstrated interest in and knowledge of housing policy. Creativity, attention to detail, and the ability to multitask with minimal supervision are essential. A master’s degree in public policy, data analytics, or other quantitative methods field is preferred. Final title and salary are commensurate with experience. Please outline in your cover letter which title you feel your qualifications most accurately represent. AEI offers a stimulating and harmonious work environment and excellent benefits. Applicants must submit a cover letter demonstrating their interest in housing policy and noting their quantitative and technical experience and skills, a resume, an unofficial academic transcript, and a writing sample with the online application. Finalists will be asked to pass an analytical assessment. Responsibilities Research or Data Analyst Perform statistical analysis and modeling according to detailed specifications to support small studies and fulfill ad hoc requests. Combine processes, techniques, and methodologies from various fields to perform predictive and statistical analysis on large and often disparate datasets. Create d…
disambiguating description: The Housing Center at the American Enterprise Institute (AEI) is the nation’s leading market-oriented housing research center. It operates at the intersection of data-driven housing knowledge and policy solutions. Analysts will have access the nation’s foremost housing database, conduct cutting-edge research, and participate in creating an unprecedented set of metrics to improve the operation of housing markets, mortgage lending practices, and housing policy. Involving direct work with the center’s codirectors on the full range of the center’s initiatives, this role encompasses data science, business intelligence, and statistical programming. The anticipated start date for this position is as soon as possible.
date posted: 2026-06-05T11:33:24Z
date modified: 2026-06-05T11:40:00Z
hiring organization: American Enterprise Institute
job location: Place
  address: PostalAddress
    address locality: Washington
    address region: District of Columbia
    address country: US
employment type: onsite
language: en
keywords: Data Analysis
keywords: Research
keywords: Housing
type: job
disciplines: economics
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: agriculturalenvironmentaleconomics
disciplines: urbanruraltransportationeconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: Urban, Rural and Transportation Economics (JEL R)
more info url: https://careers-aei.icims.com/jobs/2549/%28senior%29-research-data-analyst%2c-housing-center/job

PhD in Economics - University of Pavia & University of Milan - Admission to the 2026/2027 Academic Year (Cycle 42)
type: EducationalOccupationalProgram
title: PhD in Economics - University of Pavia & University of Milan - Admission to the 2026/2027 Academic Year (Cycle 42)
description: The Doctorate in Economics at the University of Pavia and the University of Milan is a four-year, fully funded Study and Research programme, designed for students aiming for academic or professional careers in economics. No tuition fees Fully funded Extra funding for research visits abroad Access to spaces, software (Stata, Matlab,…), and a massive and fast server (Indaco). Both Departments at the University of Pavia and the University of Milan have been awarded the Department of Excellence recognition by the Italian Ministry for the outstanding quality of their research. Funding & Scholarships available: This year, we are offering 5 fully-funded scholarships: 4 general PhD grants 1 specific grant funded by the Istituto Superiore di Sanità (ISS) on the research topic: "Use of Statistical–Econometric Models for the Analysis of Population Health Data and Registry Data" Key Dates: • Application deadline: June 30, 2026 • Interviews (online): July 17, 2026 • Results announced: shortly after the interviews, by July 21 • Programme starts: October 1, 2026 Discover more about our program here: https://economiaemanagement.dip.unipv.it/it/phd-economics Find all the information to apply here: https://economiaemanagement.dip.unipv.it/it/phd-economics/admission
disambiguating description: The Call for the University of Pavia & University of Milan Doctoral Programme in Economics is open. Deadline to apply: June 30, 2026
date posted: 2026-05-25T12:37:51Z
date modified: 2026-05-25T12:44:31Z
start date: 2026-10-01T08:00:00Z
hiring organization: University of Pavia
job location: Place
  address: PostalAddress
    address locality: Pavia
    address region: Lombardy
    address country: IT
employment type: onsite
language: en
keywords: Economics
keywords: university of milan
keywords: university of pavia
keywords: PhD
type: program
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://economiaemanagement.dip.unipv.it/it/phd-economics

Predoctoral Fellow in Labor Economics
type: JobPosting
title: Predoctoral Fellow in Labor Economics
description: The position The successful candidates will work closely in all stages of research with Fabrizio Colella, Rafael Lalive, and Josef Zweimüller on various labor economics projects related to discrimination, migration, occupational mobility, and skill requirements. Projects may also involve collaboration with coauthors such as Christian Dustmann (University College London), David Card (UC Berkeley), and Philipp Kircher (Cornell). The position provides an excellent opportunity to acquire hands-on experience performing state-of-the-art research in applied economics. The Research Fellows will be involved in different stages of research, including brainstorming, data manipulation, data analysis, literature review, and manuscript editing, and will receive support for future career development. Previous Fellows have gone on to attend PhD programs at UC Berkeley, the Norwegian School of Economics (NHH), USI Lugano, the University of Lausanne, and the University of Bern. What we offer A diverse array of on-the-job learning opportunities and guidance from faculty mentors within a stimulating and interdisciplinary academic setting. The chance to contribute to research projects alongside a team of young researchers. Exposure to academic life through seminars and reading groups. Office space, university IT infrastructure access, and support for future PhD applications. Salary range (60%–80%): 37,000–48,800 CHF/year (≈ $46,000–$62,500 USD/year) The ideal candidate Has completed, or is in the process of completing, an M.Sc. in Economics or other quantitative fields (including Computer Science, Engineering, Mathematics, Physics, and more). Has a long-term interest in pursuing academic research in economics or data analysis. Has strong intrinsic motivation, a cooperative attitude, and the ability to work independently. Possesses strong computer and analytical skills. Knowledge of programming languages and statistical software such as Stata, R, or Python, and experience with text analy…
disambiguating description: The new Labor Market Insights (LMI) center for labor economics research invites applications from highly motivated and talented candidates for three Predoctoral Research Fellows in Labor Economics. The positions are for one year (up to two years on mutual agreement). The starting date is flexible and may be as early as September 2026. Two Fellows will be based at the Institute of Economics (IdEP) at the Università della Svizzera italiana (USI) in Lugano, Switzerland, while one will be based at the Department of Economics of the University of Lausanne (UNIL), Switzerland.
date posted: 2026-04-20T09:40:04Z
date modified: 2026-04-20T14:25:11Z
valid through: 2026-05-10T21:59:59Z
start date: 2026-09-01T08:00:00Z
hiring organization: Università della Svizzera italiana (University of Lugano)
job location: Place
  address: PostalAddress
    address locality: Lugano
    address region: Ticino
    address country: CH
employment type: onsite
language: en
keywords: data analysis
keywords: applied economics
keywords: predoctoral research
type: job
disciplines: microeconomics
disciplines: othereconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: datascience
disciplines: economics
disciplines: laweconomics
disciplines: econometricsstatisticsquantitative
disciplines: generaleconomics
disciplines: economicthoughtmethodology
discipline labels: Microeconomics (JEL D)
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Data Science
discipline labels: Economics
discipline labels: Law and Economics (JEL K)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: General Economics (JEL A)
discipline labels: Economic Thought & Methodology (JEL B)
more info url: https://fabriziocolella.com/JobAds/PreDoc_Ad_LMI_2026.pdf

PhD student position in Operations Management — KU Leuven
type: JobPosting
title: PhD student position in Operations Management — KU Leuven
description: PhD student position in Operations Management — KU Leuven (ref. BAP-2026-224) Laatst aangepast: 02/04/26 The Research Centre for Operations Management, Faculty of Economics and Business, KU Leuven (Belgium) has a vacancy for a PhD student position at the intersection of Operations Research and Supply Chain Management. We are looking for a full-time PhD student to do research on supply chain visibility and network resilience, under the supervision of profs. Jannik Matuschke, Erik Demeulemeester, and Maximiliano Udenio. Project Global supply chains are large, complex networks that are typically opaque even to the firms that operate within them. A firm generally has visibility only to its direct (tier-1) suppliers and, at best, a small fraction of its tier-2 suppliers. However, empirical supply networks routinely span 10 to 15 tiers. This lack of visibility creates significant vulnerability: firms cannot anticipate, prepare for, or respond to disruptions that originate deep in their upstream network. This PhD project aims to develop a formal framework for supply chain visibility and resilience using tools from Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure affects the cost and robustness of supply chain visibility; second, to study what actions a focal firm can take within its local sphere of influence to improve its resilience, including the design of its sourcing strategy; and third, to validate the theoretical framework empirically using real-world supply chain network data. Results of the research will be communicated through top-level publications in operations research and operations management journals, and through presentations at international conferences. Although the focus is on research, the candidate can be asked to give guidance to Master’s students, to be involved in teaching, and to supervise and…
disambiguating description: The Research Centre for Operations Management at KU Leuven is seeking a PhD student for research on supply chain visibility and network resilience. Website van de eenheid
date posted: 2026-04-09T12:09:53Z
date modified: 2026-04-14T10:33:18Z
start date: 2026-09-15T08:00:00Z
hiring organization: KU Leuven Faculteit Economie & Bedrijfswetenschappen (FEB) - Operations Management
job location: Place
  address: PostalAddress
    address locality: Leuven
    address region: Flanders
    address country: BE
employment type: onsite
language: en
keywords: Economie
keywords: Ingenieurswetenschappen
keywords: Wiskunde
keywords: Industriële Ingenieurswetenschappen
type: job
disciplines: economics
disciplines: socialscience
disciplines: businesseconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Business Economics (JEL M)
more info url: https://www.kuleuven.be/personeel/jobsite/jobs/60650811

How AI is Re-shaping Economics Postgraduate Education - An Insider View from a Current PhD Student
type: Article
title: How AI is Re-shaping Economics Postgraduate Education - An Insider View from a Current PhD Student
description: Below I present three main reasons why it is becoming increasingly difficult to imagine postgraduate education without the use of AI. Whether you’re a student or a lecturer, knowing how to use AI effectively — or just being aware of how students are already making use of it — will help you succeed. 1) AI offers better searches for niche information Many of the common AI models can be used as a search tool, making them the first truly new innovation enabling Internet searches since the emergence of sites like Yahoo! and Ask.com - and of course google - in the second half of the 1990s. This search feature makes it a great study and research partner, beyond what a typical user can accomplish with a search engine. One of the weaknesses of traditional search engines is that it can be hard to find the specific information you need, especially if you’re searching for something niche, or if the language used for that topic is generic. For example, consider a scenario where your favorite bakery is a small mom-and-pop shop named “Croissant”. Or, for a more economics-relevant example, consider searching for content about the inverse elasticity of substitution in (specifically) the neoclassical growth model. In both cases, it can be extremely difficult to find the right information you need. In the first case it’s hard to craft a good search with such limited language, since “croissant” will return far too many irrelevant results. And in the latter case, the need to be extremely specific (thus using so many words) means that a traditional search will end up getting lots of irrelevant content as well. Even using advanced search functions might be ineffective, or at least time-consuming. But AI has the ability to sidestep a lot of these problems. That’s partly because if an LLM answers with something you weren’t looking for, you can just tell it that, and it will pivot to your intended meaning instead. This makes LLMs ideal tools to begin a search for esoteric information — altho…
disambiguating description: We all know that AI models are becoming increasingly commonplace, with hundreds of software companies now offering AI-powered tools, and dozens of iterations of ChatGPT and similar LLMs popping up every year. While some bemoan AI tools, they’ve also been lauded as powerful and helpful tools that we ought to be using every day. Regardless of where you stand on the AI-usage spectrum, one thing is certain: AI models are reshaping education, even at the highest levels. Economics is no exception. Even for PhD students like me, AI tools are becoming a feature of student life — and when used smartly, can be a great asset to learning.
date posted: 2026-03-06T10:23:50Z
date modified: 2026-03-06T10:30:00Z
employment type: onsite
language: en
keywords: AI for Postgraduate Education
keywords: AI in University
keywords: Sean McClung
keywords: AI for Modelling
keywords: AI for Economics
keywords: AI Education
type: teach
disciplines: politics
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: datascience
disciplines: generaleconomics
disciplines: finance
disciplines: statistics
discipline labels: Politics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Data Science
discipline labels: General Economics (JEL A)
discipline labels: Finance
discipline labels: Statistics

PhD in Economics 2026/2027 - Five fully funded 4-year scholarships available
type: EducationalOccupationalProgram
title: PhD in Economics 2026/2027 - Five fully funded 4-year scholarships available
description: The PhD in Economics is a 4-year programme designed for highly qualified and motivated students who wish to acquire the research and analytical skills of the international scientific community in Economics. The Programme is offered in close cooperation with UniCA-University of Cote d’Azur (Nice, France). Students attend one year and a half of intensive course work, part of which (2-3 months) is hosted at the UniCA. After the training period, students will proceed to supervised research work, yielding an original dissertation to be discussed in a final, public examination. It is expected that students produce articles publishable in international journals. PhD students are exposed to the vivid research environment and participate to various ongoing research activities of the Institute of Economics at Scuola Sant’Anna (seminars, conferences, research projects). The Programme is also part of a large international network of institutions and scholars, supporting exchanges of research students and faculty. Areas of study and research facilities The training covers traditional domains of economic analysis (micro, macro, econometrics) but also offers the unique opportunity to study and get involved in research fields often neglected in standard PhD Courses. In line with the core research interests and expertise of the Institute of Economics at Sant’Anna and associate institutions, Advanced and Field topics encompass: evolutionary perspectives on economic change, firm-industry dynamics, economics of innovation, agent-based computational economics, economic networks and complexity, economic history and history of economic thought, and a broad range of quantitative tools for the analysis of economic dynamics and causal inference. PhD students have access to research facilities (software, hardware, data) available via the Scuola library, the Institute of Economics, and the computational infrastructure of the Department of Excellence L'EMBEDS. Job Opportunities The Programme is…
disambiguating description: The Sant'Anna School of Advanced Studies has launched the call for applications for its Ph.D. in Economics (2026/2027 academic year). Five fully funded 4-year scholarships are available. Application deadline: April 15, 2026, at 12:00 pm (CEST)
date posted: 2026-02-25T13:08:00Z
date modified: 2026-03-02T09:00:00Z
valid through: 2026-04-15T21:59:59Z
start date: 2026-10-01T08:00:00Z
hiring organization: Scuola Superiore Sant'Anna
job location: Place
  address: PostalAddress
    address locality: Pisa
    address region: Tuscany
    address country: IT
employment type: onsite
language: en
keywords: Econ PhD in Italy
keywords: PhD in Economics
type: scholarship
disciplines: microeconomics
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://www.santannapisa.it/en/formazione/international-doctoral-programme-economics