Internship in Foundation Models & Optimization for Power Grids

About the role

The System and Automation team at Hitachi Energy’s Swiss research centre seeks a motivated intern to apply machine‑learning techniques to accelerate numerical algorithms for real‑time power‑system monitoring. You will work on cutting‑edge research that supports more reliable, efficient and resilient grid operation over a six‑month period.

Key responsibilities

• Research and develop ML‑based methods for power‑system monitoring.
• Investigate and adapt foundation models to represent grid topology, measurements and operating conditions.
• Combine ML approaches with numerical optimisation and power‑system physics.
• Evaluate solutions through simulation studies and benchmarking.
• Document results, write technical reports and contribute ideas for industrial implementation.

Required profile

• Enrolled in an MSc program in Electrical Engineering, Computer Science, Applied Mathematics or a related field.
• Strong background in numerical optimisation; power‑system knowledge is a plus.
• Good knowledge of machine learning and deep learning; exposure to graph neural networks or foundation models is advantageous.
• Excellent communication skills in English and a proactive, team‑player attitude.

Required skills

• Python programming
• C++ programming
• MATLAB
• PyTorch or similar deep‑learning framework