Internship in Foundation Models and Optimization for Power Grids

Contribute to research activities on ML-based methods for power system monitoring. Investigate, deploy and refine foundation models for representing power grid topology, measurements, and operating conditions. Combine ML-driven methods with numerical optimization and power system physics. Evaluate the proposed methods through simulation studies and benchmarking. Report and disseminate results within the team, write technical documentation, and contribute creative ideas towards industrial implementation.

We are a technology-driven company with a strong focus on innovation, continuous improvement, and sustainable manufacturing. We offer flexible working conditions, dedicated mentorship, and a supportive, inclusive environment where you can grow personally and professionally – empowering you to thrive while balancing life and work.

• Enrolled in an MSc program in Electrical Engineering, Computer Science, Applied Mathematics, or a related field

• Strong background in numerical optimization. Power system knowledge is a plus

• Good knowledge of machine learning and deep learning. Exposure to graph neural networks, foundation model or machine learning adaptation strategies is a plus

• Experience in Python or C++ programming and MATLAB

• Experience with PyTorch or similar deep learning frameworks

• Excellent communication skills, team player attitude, initiative, and creativity

• Fluency in English, written and spoken