Postdoctoral Researcher in Reinforcement Learning

vor 1 Woche


Zürich, Schweiz EURAXESS Czech Republic Vollzeit

Organisation/Company: ETH Zürich

Research Field: Computer science » Programming, Computer science » Other, Engineering » Systems engineering

Researcher Profile: Recognised Researcher (R2)

Country: Switzerland

Application Deadline: 21 Apr 2025 - 21:59 (UTC)

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 41

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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.

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
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.

We look forward to receiving your complete online application with the following documents:

  • 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.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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