Research Intern - Online Machine Learning for Power Grids

6 days ago

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Hitachi

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Information & Telecommunication Systems • Social Infrastructure & Industrial Systems • Electronic Systems & Equipment • Automotives Systems • Smart Life & Ecofriendly Systems

10,000+

Description

• Hitachi Energy has an opening for the position of Research Intern in the field of online machine learning and its applications in power grids. • The hired intern will work under the supervision of Research Scientist(s) in the Hitachi Energy Research center at Montreal, Canada. • This position will be held in a hybrid-format or remotely within Canada. • Duration of internship: Preferably 6 months. • Start and end dates are negotiable. • Mode of work: Flexible for hybrid or Remote. • Perform literature survey to explore state-of-the-art AI methodologies and their applicability, strengths, and weaknesses. • Focus will be on methodologies and tools used in the domains including (but not limited to) sequential and time series data. • Investigate methodologies to understand and interpret the decisions from ML models for power grid applications. • Apply and modify ML methodologies to develop solutions for power grid automation. • Run experiments in python, prepare codebase. • Prepare a technical report, presentation on work accomplished during internship and/or publication in peer-reviewed conference.

Requirements

• PhD students/candidates in Electrical Engineering, Computer Science/Engineering or Applied Mathematics. • Excellent senior year Master’s students with relevant experience are also welcome to apply. • In-depth understanding of AI/ML methodologies required, such as: classical and deep learning based supervised/unsupervised classification/regression and associated time series models. • Prior experience in technology screening through literature survey required. • Prior experience in developing machine learning based solutions for academic or industrial problems required. • Coding experience in Python and ML libraries (e.g., Tensorflow/Pytorch, Scipy, SkLearn) required. • Good communication skills (both written and spoken). • Understanding and/or practical experience in one or more of the following fields preferred : continual learning, generalized learning, meta learning, scalable AI, probabilistic machine learning, lifelong learning, safe ML. • Graduate-level knowledge of probability, statistical methods, or optimization preferred. • Ability to do critical and innovative thinking. • Ability to take lead in realizing ideas. • Prior experience in writing technical articles/reports is good to have. • Familiarity with power grid automation is good to have.