At Hitachi Energy, our purpose is advancing a sustainable energy future for all. We bring power to our homes, schools, hospitals and factories. Join us and work with fantastic people, while learning and developing yourself on projects that have a real impact to our communities and society. Bring your passion, bring your energy, and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation

General Information:

Hitachi Energy has an opening for the position of Research Intern in AI-aided solutions for power system applications. The hired intern will work under the supervision of Research Scientist(s) in the North America (Canada) Hitachi Energy Research center. As of now, this position will be held remotely in Canada.

• Perform analysis and processing of large scale and diverse types of data (e.g., timeseries, numerical, categorical etc.).

• Investigate ML models for large scale data processing and rendering fast and efficient performance.

• Run experiments in python, prepare codebase.

• Prepare technical report, presentation on work accomplished during internship.

• Master or PhD students/candidates in Computer Science/Engineering, Electrical Engineering or Applied Mathematics.

• Understanding of the basics of AI/ML methodologies, such as - classical and deep learning based supervised/unsupervised classification/regression and associated models.

• Good coding experience in Python and ML libraries (e.g., Pytorch, Tensorflow, Keras, Numpy, Scipy, SkLearn).

• Prior research experience on applied machine learning.

• Familiarity with one or more of the following: exploratory data analysis (EDA), explainable AI (XAI), representation learning.

• Graduate level knowledge on probability, statistical methods, and optimization.

• Code optimization techniques to deal with computation-heavy experiments.

• Prior experience in technology screening through literature survey.

• Prior experience in writing technical articles/reports.

• Ability to do critical and innovative thinking.

• Excellent communication skills (both written and spoken).