Postdoctoral Researcher in Reinforcement Learning at ETH Zürich
We are seeking candidates with:
- A PhD degree in the field of Computer Science or similar
- Solid background in the foundations of reinforcement learning
- Proven research experience with first-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CoRL, ICRA, AAAI, AAMAS or similar)
- A collaborative mindset, with the ability to work effectively within a multidisciplinary team
- (Optional) Experience with large-scale machine learning codebases
The candidate is expected to work on the broad theme of reinforcement learning (RL), such as (but not limited to)
- Theory of online learning, reinforcement learning, and data-driven control
- Learning in games, and multi-agent RL
- RLHF and alignment in LLMs
- Representation learning in RL
- Transfer learning in multi-task bandits and RL
- Statistical or generative decision making
The exact project scope will be tailored to the candidate's strength and expertise. The candidate is expected to collaborate closely with the research supervisor and the ODI team members, and assist in mentoring Master’s or Bachelor’s thesis projects.
We promise an inspiring, collaborative research environment to support your immersion into an ambitious research agenda. Our team consists of a dynamic and international group of researchers who share a common vision to contribute to top-level academic research in the fields of machine learning. You will have access to state-of-the-art computational resources and a broad network of global collaborators. We offer a competitive salary. For employment details at ETH Zurich, visit ETH Zurich Employment Information.
