[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Hitachi jobs](https://jobs.opennash.com/companies/hitachi/) · [Search jobs](/search/) Hitachi · Baden, AG, CH # Internship in Foundation Models and Optimization for Power Grids 80 - 100% (f/m/d) Baden, AG, CH Full-time Early career Listed on Hitachi’s official careers site. Posted September 25, 2026. Check that it is still open and apply there. [Apply on Hitachi’s careers site →](https://careers.hitachi.com/internship-in-foundation-models-and-optimization-for-power-grids-80-100-f-m-d/job/R0145074) [OpenNash Jobs](https://jobs.opennash.com/) / [Hitachi](https://jobs.opennash.com/companies/hitachi/) / Internship in Foundation Models and Optimization for Power Grids 80 - 100% (f/m/d) ## Job description The opportunity The System and Automation team at the Swiss research center is looking for an intern student with expertise in numerical optimization and machine learning (ML) to contribute to cutting-edge developments for modern power grid operation. The internship will focus on applying ML techniques to accelerate and improve numerical algorithms for real-time power system monitoring, enabling more reliable, efficient, and resilient grid operation. You will work in a dynamic and multidisciplinary research environment and will be supervised by experienced researchers in power systems, optimization, and artificial intelligence. If you have a strong technical background, motivation to develop innovative solutions, and are goal-oriented, this is your opportunity to contribute to a stronger and more sustainable energy future. The duration of the internship is six months. ### How you'll make an impact - 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 Your background 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 More about us 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. We look forward to receiving your application, including a brief cover letter and a transcript of records, along with your CV. Non-EU/EFTA citizens, please note that an official university certificate showing that an internship is a mandatory part of your studies is required. ## At a glance - Posted by the employer: Sep 25, 2026 - First seen by OpenNash: Oct 12, 2026 - Last checked: Oct 19, 2026 - Listed for: 24 days - Location: Baden, AG, CH - Employment type: Full-time[Apply on Hitachi’s careers site →](https://careers.hitachi.com/internship-in-foundation-models-and-optimization-for-power-grids-80-100-f-m-d/job/R0145074) ## More jobs at Hitachi ### [Internship in Reliability Testing for SiC-based Power Semiconductors 80 - 100% (f/m/d)](https://jobs.opennash.com/companies/hitachi/jobs/092e1506660fcfa6557f/) Baden, AG, CH ### [(Temporary) HSE Specialist](https://jobs.opennash.com/companies/hitachi/jobs/dfb0db1a6b6b3936e51c/) Bac Ninh, VN ### [2027 Summer Health Safety Environmental Internship-Jefferson City](https://jobs.opennash.com/companies/hitachi/jobs/164c8aad3a6e28c6b8b8/) Jefferson City, MO, US ### [2027 Summer Intern - Bland, VA](https://jobs.opennash.com/companies/hitachi/jobs/23f0ee78f7c81507d4fb/) Bland, VA, US ### [2027 Summer Intern - Crystal Springs](https://jobs.opennash.com/companies/hitachi/jobs/36cd1e71fcdf426a2d5e/) Crystal Springs, MS, US ## Similar jobs at other companies ### [西门子中国研究院 具身大模型科学家 Expert Research Scientist on Autonomous Polyfunctional Robots (Foundation Models)](https://jobs.opennash.com/companies/siemens/jobs/b53a76fc0531f3c652f7/) Siemens ### [Internship - Machine Learning (Foundation Models)](https://jobs.opennash.com/companies/apple/jobs/bf67a4f0c220c7f1f502/) Apple · Zurich, Switzerland ### [Internship - Advanced Control & Optimization](https://jobs.opennash.com/companies/abb/jobs/5f62cabf1395685af8cc/) ABB · Genova, Italy ### [Principal Applied Scientist- Foundation Models, Agents & Decision Intelligence](https://jobs.opennash.com/companies/microsoft/jobs/3260b51f1036f4bc7ebf/) Microsoft · India, Karnataka, Bangalore ### [Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles](https://jobs.opennash.com/companies/nvidia/jobs/dcf943f5e0479ae5f976/) NVIDIA OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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