Research Intern – Explainable AI and Reporting Framework for Power Grid Machine Learning ApplicationsHITACHI ENERGY CANADA INC. • Toronto, Ontario, Canada

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

HITACHI ENERGY CANADA INC.

Toronto, Ontario, Canada

Toronto, Ontario, Canada

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About

Description : French version follows The Opportunity Hitachi Energy is seeking a highly motivated 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. The hired intern will work under the supervision of Research Scientist(s) in the Hitachi Energy Research center. This position will be held in a hybrid-format or remotely within Canada. Duration of internship : 4 months (can be extended up to 6 months as per need) Start date : May 4, 2026 (flexible) Mode of work : Remote or Hybrid (flexible) Renumerated Internship How you’ll make an impact Conduct literature reviews and comparative evaluations on ML explainability and trust-building techniques. Investigate frameworks for model transparency, reproducibility, and traceability. Explore and evaluate explainability methods (e.g., SHAP, LIME, surrogate models) and their applicability to industrial ML workflows. Prototype research concepts using Python and modern ML tooling. Document findings and present them in technical reports or publications, as appropriate. Your background 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

Toronto, Ontario, Canada

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English

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