Research Intern in AI-aided solutions for power system applications

Reposted 21 Days Ago
Be an Early Applicant
2 Locations
Remote
Internship
Fintech • Information Technology • Logistics
The Role
The intern will analyze large datasets, investigate machine learning models, run experiments in Python, and prepare technical reports and presentations.
Summary Generated by Built In

Location:

Toronto, Ontario, Canada

Job ID:

R0068890

Date Posted:

2024-12-20

Company Name:

HITACHI ENERGY CANADA INC.

Profession (Job Category):

Administration & Facilities

Job Schedule: 

Full time

Remote:

Yes

Job Description:

The Opportunity

Hitachi Energy has an opening for the position of Research Intern for working on AI-aided solution in power system application. 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.

 

Internship duration: Preferably 4 months

Start date: March 2025 (start and end dates are negotiable)

Mode of work: Remote

Renumerated Internship

 

How you’ll make an impact

  • 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.

Your background

  • 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.

  • Experience of using Large Language Models (LLMs) in technical documents for predictive and generative tasks.

  • 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.

  • 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.

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 general inquiry form 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. 

Top Skills

Keras
Numpy
Python
PyTorch
Scipy
Sklearn
TensorFlow
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The Company
33,676 Employees
On-site Workplace

What We Do

Since its founding in 1910, Hitachi has responded to the expectations of society and its customers through technology and innovation. Our mission is to “Contribute to society through the development of superior, original technology and products.” Over the past 100+ years this commitment has led us to work towards creating a more sustainable society through our “Social Innovation Business”. We work to apply our expertise in information technology (IT), operational technology (OT), and a wide variety of products to advance social infrastructure systems and improve quality of life across the world.

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