Tag: Research

Company: Hitachi

Location: Stoney Creek, ON

Expected salary:

Job date: Sat, 04 Jan 2025 02:17:48 GMT

Job description: Location: Toronto, Ontario, CanadaJob ID: R0068890Date Posted: 2024-12-20Company Name: HITACHI ENERGY CANADA INC.Profession (Job Category): Administration & FacilitiesJob Schedule: Full timeRemote: YesJob Description: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 InnovationGeneral 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.Duration of internship: Preferably 4 months, to start as early as March 2025. Dates and duration are are negotiable.Responsibilities: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.Minimum qualification: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).Preferred qualification: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).More about usHitachi 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.Only selected applicants will be contacted.Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.