Research Intern in AI-aided solutions for power system applications
Job location
Saint-Laurent, Quebec, Canada
Type
Full Time
Responsibilities:
Perform analysis and processing of large-scale and diverse types of data (e.g., time series, numerical, categorical, etc.).
Investigate ML models for large-scale data processing and rendering fast and efficient performance.
Run experiments in Python, and prepare codebase.
Prepare technical reports and presentations on work accomplished during the internship.
Requirements & Skills:
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 in 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), and representation learning.
Graduate-level knowledge of 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.
