Research Associate
Vor 4 Tagen
**Research Associate** (M/F/d)
with focus on **Explainable Deep Reinforcement Learning in Critical Infrastructures.**
The position is full time (100%), pay rate E13 TV-L, until the end of the current funding of the research group (July 31st, 2025), with the possibility of extension.
The junior research group is a once-in-a-lifetime opportunity to be part of the research in a new methodology for advanced deep reinforcement learning agents in critical national infrastructures (CNI), such as the power grid. In the Adversarial Resilience Learning (ARL) methodology, two (or more) competing agents ("attacker" and "defender") compete for control of a CNI. Through this competition, the two agents learn robust strategies for a resilient control of the CNI. The research group develops an advanced architecture on top of it, featuring higher-order Deep Reinforcement Learning algorithms, extraction of learned strategies in a non-standard logic via methods of Explainable Reinforcement Learning, and learning from domain-expert knowledge.
**Your Profile**:
- A successfully completed university degree (master or diploma) in computer sciences
- profound knowledge of at least two of non-standard logics (esp. TVL and Boolean differential calculus), power grids, deep reinforcement learning, and explainable deep reinforcement learning
- extensive programming experience with at least Python or C++, software engineering knowledge is a bonus
- motivation and ability to publish and present scientific findings, represent the research group to international experts, and to collaborate with a diverse and international team of researchers
- fluently spoken and written English
**What We Offer**:
- Fast-paced PhD in a prestigious, BMBF-funded junior research group along with publications and presentations on international conferences
- International network of partner universities as well as industry partners
The same applies to persons with disabilities.
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