Research Intern - Explainable AI and ITS Applications in Power Grids

Hitachi ABB Power Grids

Canada
Remote

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

Hitachi energy is a global leader in technology, and the largest supplier of transformers in the world. We are pioneering the digitalization of transformers, while working on the frontier of renewable energy and ultra-high voltage AC & DC applications. Hitachi Energy has an opening for the position of Research Intern in the field of explainable AI (XAI) and its applications in power grids. The hired intern will work under the supervision of Research Scientist(s) in the North America Hitachi Energy Research center (Montreal, Canada). As of now, this position will be held re-motely in Canada. Internship duration: Preferably 6 months (start and end dates are negotiable)

Your responsibilities

  • Perform literature survey to explore state-of-the-art explainable AI methodologies and their applicability, strength, and weaknesses. Focus will be on studying methodologies and tools used in the domains including (but not limited to) both global and local interpretability, causality, etc.
  • Investigate methodologies to understand and interpret the decisions from of ML models for power grid applications.
  • Apply and modify existing XAI methodologies to develop explainable and interpretable models for power grids automation.
  • Run experiments in python, prepare codebase.
  • Prepare technical report, presentation on work accomplished during internship and/or publication in peer-reviewed conference.

Your background

  • Minimum qualifications:
  • PhD students/candidates in Computer Science/Engineering, Electrical Engineering or Applied Mathematics.
  • Excellent senior year Master’s students with relevant experience are also welcome to apply.
  • Understanding of AI/ML methodologies, such as classical and deep learning based supervised/ unsupervised classification/ regression and associated models.
  • Coding experience in Python and ML libraries (e.g., Tensorflow, Pytorch, Keras, Numpy, Scipy, SkLearn)
  • Preferred qualifications:
  • Prior research experience on applied machine learning
  • Familiarity with explainable AI
  • Graduate level knowledge on probability, statistical methods, and optimization
  • Ability to do critical and innovative thinking
  • Excellent communication skills (both written and spoken)
  • Prior experience in technology screening through literature survey
  • Prior experience in writing technical articles/reports
  • Familiarity with power grids automation

More about us

Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We are advancing the world’s energy system to become more sustainable, flexible and secure whilst balancing social, environmental and economic value. Hitachi Energy has a proven track record and unparalleled installed base in more than 140 countries. Headquartered in Switzerland, we employ around 38,000 people in 90 countries. In fiscal year 2020 we generated business volumes of around $10 billion USD as reported by Hitachi. www.hitachienergy.com

Publication date

2022-01-14

Reference Number

CA52620134_E1

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Confirmed 30+ days ago. Posted 30+ days ago.

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