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University Gustave Eiffel

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Postdoc in Economics - Behavior of French Companies Regarding Taxes University Gustave Eiffel in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 15, 2026

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Country

France

University

University Gustave Eiffel

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Keywords

Computer Science
Data Science
Business
Public Finance
Causal Inference
Microeconomics
Urban Economics
Economics Of Innovation
Economics
Statistics
ML

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About this position

The University Gustave Eiffel is offering a postdoctoral position in Economics within the FIIZU research project (Fiscalité, Innovation et Inégalités dans les Zones Urbaines), focused on the behavior of French companies regarding taxes.

The project investigates how tax reforms — including changes to corporate income tax and the removal of the CVAE — affect firms’ balance sheets, depending on firm size, sector, and location. A core objective is to understand whether tax changes are used to stimulate local innovation and employment or whether they instead reinforce rent-seeking dynamics. The research also aims to assess the economic resilience of territories in the face of fiscal reforms.

The successful candidate will work with large-scale, exhaustive matched microdata over the period 2010–2023, including DGFiP, FARE, LIFI, and SIRENE datasets, hosted on the secure CASD server. The methodological focus includes causal inference, microeconometrics, structural econometrics, and advanced classification or machine learning approaches to identify behavioral signatures of firms.

This is a full-time temporary research position of 35 hours per week, located in France at the University Gustave Eiffel in Champs-sur-Marne (Île-de-France). The contract is linked to the university’s researcher salary scale, with an estimated net monthly salary between 2300 and 2700 euros depending on experience.

Eligibility highlights include a PhD in economics or a closely related quantitative field, excellent empirical and programming skills in R and/or Python, experience with large administrative datasets, and strong French and English language skills. Knowledge of French tax data and the CASD environment is especially valued.

The application deadline is 15 November 2026. Applications should be sent by email to [email protected]. Interviews are expected in late November or early December 2026, with a start date of 1 January 2027.

Funding details

Available

What's required

A PhD in Economics or a related quantitative discipline such as applied statistics or data science applied to social sciences is required. Candidates should have very strong skills in microeconometrics, structural econometrics and/or statistical learning methods (causal machine learning), and demonstrated experience handling large individual and administrative datasets. Prior experience with French data sources (DGFiP tax returns, FARE, FICUS, SIRENE) and familiarity with the CASD environment are a major advantage. Applicants should have a strong interest in corporate taxation, territorial economics, innovation economics, or corporate finance. Advanced proficiency in R and/or Python is required, including reproducible coding practices and GitHub repository management. French is mandatory at a professional level, and English must be very good for academic writing and international conference presentations.

How to apply

Apply by email to [email protected]. Use the internal application form if required (AppelCandidature_PostDoc.pdf). Auditions are planned for late November or early December 2026, with a start date of 1 January 2027.

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