Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Omar Saadi
7 months ago
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Research Internship in Optimization and Reinforcement Learning at Mohammed VI Polytechnic University Mohammed VI Polytechnic University in Morocco
Degree Level
not provided
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
Morocco
University
Mohammed VI Polytechnic University

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About this position
Mohammed VI Polytechnic University (UM6P) in Benguerir, Morocco, is offering paid research internships in the field of optimization and reinforcement learning. The internships are hosted at the College of Computing and supervised by Assistant Professor Omar Saadi. The research topics include optimization methods for policy-gradient algorithms and analytical studies of acceleration in policy optimization, with a focus on advanced techniques such as proximal and trust-region methods (e.g., PPO). Interns will explore how update mechanisms and regularization strategies affect learning dynamics, and may engage in both algorithmic development and empirical evaluation on standard benchmarks.
The projects are well-suited for students with a strong mathematical background and solid programming skills, particularly those interested in bridging optimization theory and reinforcement learning. Theoretical and analytical aspects will be emphasized, including mathematical modeling, numerical exploration, and conceptual analysis. These internships are research-oriented and may naturally lead to PhD opportunities in related areas.
UM6P is a leading institution in Africa, dedicated to research and innovation, and aims to contribute to economic and human development on the continent. The university offers a unique partnership-based approach and is located in the heart of the Green City, Benguerir. The internships last 4–6 months and are paid, though specific stipend details are not provided.
Applicants should apply via the provided links for each internship topic. The application process is through the university's career portal. For more information, candidates can refer to the supervisor's LinkedIn profile or the official university website.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
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