Publisher
source

HEC Paris

Pre-doctoral and Post-doctoral Positions in AI-driven Business Decision-Making at HEC Paris HEC Paris in France

Degree Level

Master's, Postdoc

Field of study

Computer Science

Funding

No explicit funding details are provided. Duration is up to 3 years. Funding type, stipend, and tuition coverage are not specified.

Deadline

Oct 1, 2026

Country flag

Country

France

University

HEC Paris

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Keywords

Computer Science
Machine Learning
Finance
Entrepreneurship
Operations Research
Artificial Intelligence
Marketing
Business
Management
Management Science
Economics
Strategy

About this position

The ION Management Science Lab at HEC Paris is recruiting pre-doctoral (Master’s degree) and post-doctoral (PhD) researchers to join their team in Paris. The research group, led by Thomas Astebro Åstebro and Carlos Serrano, focuses on the development and application of artificial intelligence (AI) and machine learning (ML) methods to enhance decision-making in business and entrepreneurship. Researchers will have the opportunity to work with data from the HEC Incubateur and the Creative Destruction Lab, and will be based at Station F, the world’s largest startup campus and venture accelerator.

Candidates with backgrounds in economics, AI, machine learning, data science, operations research, strategy, finance, marketing, or management are encouraged to apply, provided their research interests align with AI-driven decision-making in business. An interest in entrepreneurship is considered a strong plus. The positions offer a collaborative environment within a leading European business school and exposure to innovative business research and startup ecosystems.

The positions are available for up to 3 years, with a flexible start date in Summer 2026. Applications will be accepted until the positions are filled. No specific funding or stipend details are mentioned in the announcement. To apply, pre-doctoral candidates should email their application to [email protected], following the instructions provided in the post.

Keywords: Artificial Intelligence, Machine Learning, Business, Entrepreneurship, Management Science, Operations Research, Economics, Strategy, Finance, Marketing.

Funding details

No explicit funding details are provided. Duration is up to 3 years. Funding type, stipend, and tuition coverage are not specified.

What's required

Applicants should have a background in economics, artificial intelligence, machine learning, data science, operations research, strategy, finance, marketing, or management, with a research focus on AI-driven decision-making in business. An interest in entrepreneurship is a strong plus. Pre-doctoral applicants should hold a Master’s degree; post-doctoral applicants should hold a PhD. No specific GPA or language test requirements are mentioned.

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