Postdoctoral Researcher Position in Reinforcement Learning at UPF

Postdoctoral researcher position in reinforcement learning at UPF for the PEARL project, requiring a PhD in Computer Science and knowledge of theoretical analysis.

The AI-ML research group at Universitat Pompeu Fabra is seeking a postdoctoral researcher for the ‘Provably Efficient and Adaptive Reinforcement Learning (PEARL)’ project, funded by the Spanish ministry.

The position is for 18 months, with potential extension, focusing on fundamental research in reinforcement learning and sequential decision making.

• Required qualifications: PhD in Computer Science or related field.
• Extensive knowledge of reinforcement learning and theoretical analysis using mathematical tools like linear algebra, calculus, and probability theory.

To apply, visit: UPF Job Posting

Tags: Postdoctoral Researcher, Reinforcement Learning, AI-ML, Universitat Pompeu Fabra, PEARL Project, Computer Science, Theoretical Analysis