Research Intern – Explainable AI and Reporting Framework for Power Grid Machine Learning Applications

Hitachi Energy is seeking a Research Intern to contribute to the design and evaluation of explainability and governance-aligned reporting frameworks for machine learning models used in power grid applications.

Requirements

• PhD students/candidates in Computer Science/Engineering, Machine Learning, Software/Electrical Engineering.
• Excellent senior master’s (thesis-based) students with relevant experience are also welcome to apply.
• Solid understanding of machine learning & software engineering concepts, model evaluation, validation pipeline and CI/CD is required.
• Familiarity with interpretability techniques and/or model governance topics (e.g., explainability, reproducibility, fairness).
• Proficiency in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow/PyTorch, SHAP, LIME).
• Research experience involving defining problems, exploring potential solutions, and analyzing results, with the ability to clearly present findings to key stakeholders.
• Good communication skills (both written and spoken).

Benefits

• Remunerated internship
• 4-month internship with the possibility of extension to 6 months
• Flexible start date