PhD: Foundation Models for Multi-Agent RL

Syddansk Universitet; Odense; Presencial; DKK 279.000 - 391.000; Jornada completa

Descripción de la vacante

The University of Southern Denmark, Odense, invites applications for a PhD position entitled Foundation Models for Multi-Agent Reinforcement Learning. The project will explore how large populations of learning agents solve open-vocabulary control tasks from sparse rewards, aiming for new theoretical insights and demonstrable results in simulation.

The successful candidate will join the SDU Adaptive Intelligence Laboratory, contribute to high-quality publications (NeurIPS/ICML venues), and

Formación

• Strong scientific programming skills demonstrated by contributions to public code repositories or released source code from the candidate’s own publications.
• Excellent spoken and written communication skills in English.
• Two Master’s level courses that cover advanced ML topics with top 10% grades.

Responsabilidades

• Join the SDU Adaptive Intelligence Laboratory and contribute to high-quality research papers at top ML venues.
• Fulfill teaching assistant duties and provide peer support in technical and social matters.
• Develop theoretical and experimental work on foundation models for multi-agent reinforcement learning.

Conocimientos

Probabilistic ML

Reinforcement Learning

Scientific programming

English communication

Educación

Master's degree in Computer Science, AI, Mathematics, Statistics, or Theoretical Physics

Descripción del empleo

The University of Southern Denmark, Odense, invites applications for a PhD position entitled Foundation Models for Multi-Agent Reinforcement Learning. The project will explore how large populations of learning agents solve open-vocabulary control tasks from sparse rewards, aiming for new theoretical insights and demonstrable results in simulation.

The successful candidate will join the SDU Adaptive Intelligence Laboratory, contribute to high-quality publications (NeurIPS/ICML venues), and