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Post-Doctoral in Computational Economics – 12 months fixed terms contract

  • On-site, Hybrid
    • EVRY, Île-de-France, France
  • Gestion comptabilité-finances

Job description

ABOUT INSTITUT MINES-TELECOM BUSINESS SCHOOL

Business School of the IMT-Institut Mines-Télécom, the leading group of engineering schools in France, Institut Mines-Télécom Business School is a public and socially inclusive school that trains responsible, innovative and open managers and entrepreneurs around the world, to guide companies in the transitions at the heart of tomorrow's society, with strong digital expertise. It shares its campus with the engineering school Télécom SudParis, also a member of IMT. The school has 1,500 students, is listed each year in the ranking of the best French and European business schools, and is accredited by AACSB and AMBA. The school offers training courses ranging from post-Bac (Bachelor) to Executive Education through the Grande Ecole Program delivering a Bac + 5 diploma (Grade Master).

ABOUT INSTITUT MINES-TELECOM:

The Institut Mines-Télécom (IMT) is a public institution dedicated to higher education and research for innovation in the fields of engineering and digital technology. Always attentive to the needs of the business world, the IMT combines strong academic and scientific legitimacy, close ties with companies and a unique positioning on the major transformations of the 21st century: digital, energy, industrial and educational. Its activities are carried out by the Mines and Télécom Grandes Ecoles under the authority of the Minister for Industry and Electronic Communications, two subsidiaries and associated partners or partners under agreement. ITM is a founding member of the Alliance Industrie du Futur. It has been awarded the Carnot label for the quality of its research partnerships.

Institut Mines-Télécom video presentation

MISSIONS:

  • The mission of the postdoctoral researcher is to serve as the technical and methodological bridge across both research strands, leveraging expertise in economics and computer science to integrate advanced, neural-network-based algorithms into the project's simulation and experimental designs.

ACTIVITIES:

contribute to:

•            The technical development and benchmarking of advanced algorithms across both research strands:

◦            Implementation of deep reinforcement learning agents using PyTorch and related Python libraries.

◦            Benchmarking of advanced algorithms against the q-learning baseline

◦            Analysis of how increased algorithmic sophistication influences convergence regimes, cooperation propensity, and the speed at which collusive outcomes emerge.

 

•            The extension of the field experiment in the second research strand:

◦            Development of sophisticated in-house AI agents capable of testing commercial repricing software under realistic competitive scenarios.

◦            Design of testing protocols that confront commercial AI-powered software with simulated rivals of varying competitive behavior.

◦            Evaluation of the adaptive capabilities of commercial repricing software against game-theoretical benchmarks.

 

•            The academic dissemination and valorization of results:

◦            Co-authoring of working papers with the principal investigator and project collaborators.

◦            Submission of papers to leading peer-reviewed journals in economics (e.g., American Economic Review, Management Science, RAND Journal of Economics) and computer science (e.g., ACM, Elsevier, Springer journals).

◦            Presentation of results at international conferences in economics (EARIE, ASSA, TSE Digital Economics Conference) and computer science (ICML, ICMLA, ACM SIGKDD).

 

•            Participate to the academic activities of the department

 

Depending on your profile, certain aspects will be explored in greater depth than others, and additional contributions may be considered—particularly regarding the integration of state-of-the-art algorithms or the refinement of the experimental protocol. We are open to candidates' proposals for contributions according to their areas of interest and expertise.

Job requirements

Level of training and / or experience required:

  • PhD degree (or close to completion) in quantitive economics, quantitative management, or computer science or close to completition

Essential skills, knowledge and experience:

  • Advanced skills in programming, preferably with Python

  • Knowledge of classical and/or algorithmic game theory

Advantageous skills, knowledge and experience:

  • Familiarity with implementing simulations

  • Experience with AI libraries such as PyTorch or Tensorflow

  • Proficiency in multi-agent reinforcement learning

Abilities and skills:

  • Work in a multidisciplinary team

  • Rigor

  • Listening skills and interpersonal qualities

  • Proactivity

Salary indications:

Indicative salary range (excluding variable annual bonus): 35.000 - 40.000 euros gross per year, depending on profile and experience (reduced payroll taxes in a public institution).


APPLICATION PROCEDURE

  • Application deadline: July 31st, 2026,

  • Nature of the contract: fixed-term contract for 12 months

  • Category and profession of the position: II - P, Post-Doctoral

  • To apply, please send us a CV, a cover letter

  • Location of the position : Palaiseau (France) or Evry-Courcouronnes (France)

  • The positions offered for recruitment are open to all with, on request, accommodations for candidates with disabilities

  • Working conditions: Teleworking possible, restaurant and cafeteria on site, accessibility by public transport (with employer's participation) or close to main roads, staff association and sports association on campus

  • Contact person: Maximilian Schaefer maximilian.schafer@imt-bs.eu

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