Postdoctoral Researcher in Reinforcement Learning
100%, Zurich, fixed-term
The ODI group at the Institute of Machine Learning is looking for highly motivated postdoctoral researchers with expertise in reinforcement learning (RL) to join our team.
The position is available immediately, with an initial appointment for 1 year, renewable up to 3 years based on performance.
Job description
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.
Profile
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
Workplace
Workplace
We offer
Environment and resources: 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.
Compensation: We offer a competitive salary. For employment details at ETH Zurich, visit ETH Zurich Employment Information.
We value diversity
Curious? So are we.
We look forward to receiving your complete online application with the following documents:
- Curriculum Vitae
- Complete publication list
- Brief research statement (2 pages) describing your expertise and interests
- Contact information of 2-3 references
- Copies of academic certificates
Note: Applications must be submitted through our online portal. We will not accept applications sent via email.
For any questions regarding the position, please contact Dr. Zebang Shen at zebang.shen@inf.ethz.ch.
About ETH Zürich
Curious? So are we.
We look forward to receiving your complete online application with the following documents:
- Curriculum Vitae
- Complete publication list
- Brief research statement (2 pages) describing your expertise and interests
- Contact information of 2-3 references
- Copies of academic certificates
Note: Applications must be submitted through our online portal. We will not accept applications sent via email.
For any questions regarding the position, please contact Dr. Zebang Shen at zebang.shen@inf.ethz.ch.