Professor

Thomas Astebro

Has open position

Professor

Research Interests

Entrepreneurship

10%

Management

10%

Finance

10%

Marketing

10%

Machine Learning

10%

Business

10%

Computer Science

10%

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Positions(1)

Publisher
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Thomas Astebro

HEC Paris

.

France

AI and Business Decision-Making Pre-Doctoral and Post-Doctoral Positions at HEC Paris

The ION Management Science Lab at HEC Paris is recruiting pre-doctoral (Master’s degree) and post-doctoral (PhD) researchers to join a dynamic team focused on the development and application of artificial intelligence (AI) and machine learning (ML) methods to enhance decision-making in business and entrepreneurship. The research group, led by Professor Thomas Astebro and Carlos Serrano, offers opportunities to work with data from the HEC Incubateur and the Creative Destruction Lab, and is based at Station F, the world’s largest startup campus and venture accelerator in downtown Paris. 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 center on AI-driven decision-making in business. An interest in entrepreneurship is considered a strong plus. The positions are open to both pre-doctoral and post-doctoral researchers, with a start date in Summer 2026 and a duration of up to three years. The search will continue until all positions are filled. Applicants should hold a Master’s degree for pre-doctoral roles or a PhD for post-doctoral roles. The lab offers a collaborative environment with access to unique datasets and the opportunity to contribute to impactful research at the intersection of technology and business. Funding details are not specified in the announcement. Interested candidates should follow the application instructions provided in the comments of the LinkedIn post and submit their materials to the designated email addresses. Keywords: Artificial Intelligence, Machine Learning, Business, Entrepreneurship, Economics, Operations Research, Strategy, Finance, Marketing, Management, Data Science.

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