Internship in Foundation Models and Optimization for Power Grids 80 - 100% (f/m/d)

As an intern in Foundation Models and Optimization for Power Grids, you will work with Hitachi, a company focused on grid management. Your main tasks will involve developing and validating AI-driven forecasting and optimization algorithms, integrating these into Hitachi's grid-management platform, and assisting with data preprocessing, model training, and performance analysis using real-world grid datasets. You will collaborate closely with senior engineers and researchers, gaining practical experience in cutting-edge AI applications. These applications aim to enhance the integration of renewable energy sources and improve grid reliability across Europe. To excel in this role, you need a strong background in machine learning, particularly in deep learning or transformer models. Experience with Python and libraries such as PyTorch or TensorFlow is essential. Familiarity with power-system concepts or optimization techniques is also required, ideally through coursework or projects. What the role asks for: - Strong foundation in machine learning, especially deep learning or transformer models. - Experience with Python. - Experience with PyTorch or TensorFlow. - Familiarity with power-system concepts or optimization techniques.