Research Assistant 2

McGill University

6d • $31 • Onsite

About The Position

This Full-Time Research Assistant 2 position is based in Prof. Benoit Boulet’s research lab in the department of Electrical and Computer Engineering. The Research Assistant 2 will support research activities in the Intelligent Automation Lab (IALab, MC503) focused on the development of a robust and trustworthy forecasting and optimization agent for engineering applications. The role is research‑intensive and involves contributing to the design and development of advanced models, algorithms, and AI‑driven systems for renewable energy microgrids and data centers. The Research Assistant will work closely with laboratory researchers to advance forecasting, optimization, and trustworthy AI methodologies for renewable energy applications.

Requirements

• Must hold a master’s degree in computer science
• 2 years of experience in machine learning research and development
• Strong background in generative AI
• Expertise in deep learning, generative AI, reinforcement learning, forecasting, optimization, and anomaly detection
• Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
• McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing

Responsibilities

• Conducts research projects related to the design and development of a robust and trustworthy forecasting and optimization agent for engineering, using established research protocols, processes, and procedures.
• Oversees and assists with the design, development, and execution of research models and algorithms for forecasting and optimization of renewable energy microgrids and data centers, including load forecasting, control, anomaly detection, and specialized local AI assistants.
• Recommends and implements improvements to existing forecasting, optimization, and anomaly detection methods and research algorithms for renewable energy applications.
• Analyzes and interprets research data related to forecasting and optimization models and disseminates research results.
• Assists IALab HQP in developing research algorithms for renewable energy applications.

What This Job Offers

• Job Type: Full-time