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Adnene Arbi

3 weeks ago

Assistant Professor Positions in Machine Learning, Statistical Learning, and AI at École Polytechnique (France) École Polytechnique in France

Degree Level

not provided

Field of study

Computer Science

Funding

Positions offer tenure-track or permanent contracts with reduced teaching loads to support research. No specific salary or funding details are provided.

Deadline

Mar 23, 2026

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Country

France

University

Ecole Polytechnique

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Keywords

Computer Science
Mathematics
Artificial Intelligence
Graph Theory
Computational Statistics
Statistics
Large Language Models
Machine learning

About this position

The Centre de Mathématiques Appliquées (CMAP) at École Polytechnique, part of the Institut Polytechnique de Paris, is recruiting four faculty positions in the fields of Machine Learning, Statistical Learning, and Artificial Intelligence. These positions are closely connected to the Hi! PARIS Center, which focuses on AI for Science, Business, and Society. The roles include Monge Assistant Professorships (tenure track) and tenured Assistant Professorships, with research areas spanning statistical learning, AI for mathematics and science, graph learning, large language models, machine learning, applied probability, computational statistics, and their applications in finance, biology, ecology, and risk management.

Successful candidates will join a world-class research environment with excellent students, reduced teaching loads, and strong interdisciplinary collaborations across AI, mathematics, physics, and engineering. The positions offer academic freedom and the opportunity for tenure-track or permanent contracts. The École Polytechnique and the Hi! PARIS Center provide an extremely active and internationally recognized environment for research and innovation.

Applicants should have a strong research background in relevant fields such as machine learning, statistical learning, artificial intelligence, applied probability, or computational statistics. Expertise in generative models, optimization for AI, deep learning, reinforcement learning, probabilistic modeling, graph learning, large language models, interpretable and reliable AI, or related areas is highly valued. Candidates are expected to demonstrate an excellent research record and the ability to teach at the university level. While specific degree requirements are not stated, a PhD is typically expected for assistant professor roles.

The application deadline is March 23, 2026, with a start date in September 2026. For more information and to apply, candidates should visit the provided application links for detailed position descriptions and instructions. This is an exceptional opportunity to advance your academic career in one of Europe's leading institutions for mathematics and artificial intelligence research.

Funding details

Positions offer tenure-track or permanent contracts with reduced teaching loads to support research. No specific salary or funding details are provided.

What's required

Candidates should have a strong research background in machine learning, statistical learning, artificial intelligence, applied probability, or computational statistics. Expertise in areas such as generative models, optimization for AI, deep learning, reinforcement learning, probabilistic modeling, graph learning, large language models, interpretable and reliable AI, or related fields is required. Applicants should demonstrate an excellent research record and the ability to teach at the university level. Specific degree requirements are not stated but a PhD is typically expected for assistant professor roles.

How to apply

Visit the provided application links for detailed position descriptions and application instructions. Prepare your application materials as specified on the École Polytechnique recruitment portal. Submit your application before the deadline. Contact CMAP at École Polytechnique for further inquiries if needed.

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