Internship in Foundation Models and Optimization for Power Grids 80 - 100% (f/m/d)
Core
Applying ML techniques to accelerate numerical algorithms for real-time power system monitoring and grid operation.
Role type
Research intern (foundation models & optimization)
Builds
ML-based methods for power system monitoring and grid operation
Domain
Energy / Power Systems / Machine Learning
Deliverable
research
Required skills
numerical optimization, machine learning, deep learning, Python, C++, MATLAB, PyTorch
Preferred skills
power system knowledge, graph neural networks, foundation model adaptation
Responsibilities
Investigate and deploy foundation models for power grid topology and operating conditions; Combine ML-driven methods with numerical optimization and power system physics; Evaluate methods through simulation studies and benchmarking; Write technical documentation and report results.
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