PhD Position in Foundation Models for Multi-Agent Reinforcement Learning

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

PhD Position in Foundation Models for Multi-Agent Reinforcement Learning

The research project will investigate new algorithmic principles that make large populations of learning agents solve open-vocabulary control tasks from sparse reward signals. The expected outcomes are new theoretical insights about the algorithmic roots of autonomous behavior and their representative demonstrations in challenging simulation environments.

IMADA has the unique feature of bringing mathematicians and computer scientists together within a single department to foster theoretically well-backed high-quality data science research. IMADA is home to many ongoing externally funded research projects, as well as to a rich curriculum of data science courses. Data Science and Statistics Group is a synergy platform for the data science experts in IMADA.

We are seeking candidates with strong desire to make significant contributions to science, specific interest in fundamental machine learning research, and an outstanding theoretical background in probabilistic machine learning and reinforcement learning demonstrated by excellent course grades and by scientific publications at major international peer-reviewed venues of core machine learning research. Strong scientific programming skills demonstrated by contributions to public code repositories or released source code from the candidate’s own publications is a big plus. We also expect excellent spoken and written communication skills in English.

The successful candidate will join the vibrant research atmosphere at the SDU Adaptive Intelligence Laboratory and entertain substantial peer support in both technical and social matters. The candidate will contribute to the publication of high-quality research papers at top-tier machine learning venues such as NeurIPS, ICML, AISTATS, together with the other lab members. The candidate will also fulfill teaching assistantship duties.

We will consider the candidates who have a Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or Theoretical Physics at the time of the commencement of employment. Candidates should demonstrate that they have passed at least two Master’s level courses that cover advanced machine learning topics with a grade that corresponds to top 10% success within the native grade scale.

Place of work
The Department of Mathematics and Computer Science is located at the main campus of the University of Southern Denmark, Odense, Denmark. The University of Southern Denmark was founded in 1966 and now has more than 27,000 students, almost 20% of whom are from abroad. It has more than 3,800 employees, and 115 different study programmes in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense, the third largest city in Denmark.

Odense provides family-friendly living conditions with the perfect combination of a historic city centre with an urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year.