学界招聘|德国波鸿鲁尔大学招募研究员

The research group “Learning Technical Systems” at the Faculty of

Electrical Engineering and Information Technology at Ruhr-University

Bochum, Germany, has an open position for a researcher (Ph.D. student or post-doc), initially for two years (extendable).

Our group focuses on core AI/ML research, and, more specifically, online decision-making under uncertainty. The area includes (inverse/deep/causal) reinforcement learning, multi-armed bandits,

cooperation/competition/coordination in multi-agent systems, and similar problems. Our work is generic and applicable in different domains such as medicine, education, and finance, while primarily, we focus on engineering and technical systems, such as the optimization of communication networks, cloud-edge computing platforms, and robotics.

*Topics:*

The topics mainly belong to the following areas:

• (Inverse) reinforcement learning and multi-armed bandits

• Multi-agent systems

• Networks management, optimization, and resilience (e.g., resource

allocation and signal processing)

• An excellent recent M.Sc. or Ph.D. degree in Computer Science (machine learning and artificial intelligence), Mathematics (pure/applied mathematics, operations research), Communication Engineering (signal processing, information theory), and related fields such as theoretical physics.

• A solid mathematical background and the interest/motivation/patience to work on theoretical problems

• For applicants with a Ph.D.: A strong publication record in top journals and conferences; For applicants with an M.Sc. degree: Research experience proved by previous publication and/or an excellent M.Sc. thesis.

• Profound programming skills (at least MATLAB or Python, depending on the academic background)

• English proficiency, especially in writing

• Competitive salary (100% TVL-13 in Germany).

• Part-time is also possible.

• Start date can be negotiated.

• Projects are partially within large consortiums funded by the Germany Ministry of Education and Research (BMBF) and German Research Foundation (DFG), which enables you to attend project meetings, present your results frequently, and build a strong network of collaborators in both academia and industry.

• The interviews will be via Zoom.