Wissenschaftliche*r Mitarbeiter*in (m/w/d) im Bere
Core
Researching novel reinforcement learning and optimization methods to optimize DC network design and real-time adaptive operation under safety guarantees.
Role type
Research scientist (PhD-track) in reinforcement learning and optimization
Builds
Robust reinforcement learning procedures and practical software for DC network optimization
Domain
Power systems engineering + machine learning
Deliverable
production ML models
Required skills
Reinforcement learning, Optimization methods, Machine learning, Software implementation, Interdisciplinary research
Preferred skills
Adversarial machine learning, DC network knowledge, Extreme scenario analysis
Technologies
Reinforcement learning frameworks, Optimization solvers, Simulation tools
Responsibilities
Research novel RL procedures for DC network optimization, Implement procedures as practical software, Collaborate with interdisciplinary partners, Publish research results and software
Seniority
Junior/Mid-level research scientist (PhD-track)
