Foundation Models & ML for Power Grids Internship

hitachi; Lavamünd; Vor Ort; EUR 18.000 - 25.000; Vollzeit

Zusammenfassung

Hitachi Energy Ltd in Baden-Dättwil, Switzerland is seeking an intern in the System and Automation team to develop ML-based methods for real-time power system monitoring and to accelerate numerical algorithms. The six-month internship offers hands-on experience in a multidisciplinary research environment under senior researchers in power systems, optimization, and AI.

The role targets MSc students in EE/CS/Applied Math with strong Python/C++ and PyTorch skills, excellent English, and a

Qualifikationen

• 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

Aufgaben

• 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

Ausbildung

MSc program in Electrical Engineering, Computer Science, Applied Mathematics, or related field

Tools

Python

C++

MATLAB

PyTorch

Jobbeschreibung

Hitachi Energy Ltd in Baden-Dättwil, Switzerland is seeking an intern in the System and Automation team to develop ML-based methods for real-time power system monitoring and to accelerate numerical algorithms. The six-month internship offers hands-on experience in a multidisciplinary research environment under senior researchers in power systems, optimization, and AI.

The role targets MSc students in EE/CS/Applied Math with strong Python/C++ and PyTorch skills, excellent English, and a