Publisher
source

Amir Ameli

3 months ago

Postdoctoral Research Opportunity in Power Systems, Energy Markets, Optimization, and AI at Lakehead University Lakehead University in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

Canada

University

Lakehead University

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Mathematics
Artificial Intelligence
Mathematical Modeling
Industrial Engineering
Python Programming
Monte Carlo Simulation
Optimisation
Energy Sector
Power System
energy storage systems

About this position

Lakehead University is advertising a postdoctoral research opportunity in the SPARES (Security and Protection of Advanced Renewable Energy Systems) Research Group within Electrical Engineering.

The position focuses on power systems, energy markets, optimization, mathematical modeling, and AI-driven solutions for the energy sector. The successful candidate will work on cutting-edge research projects with industrial partners, addressing practical challenges in electricity markets, grid operations, and energy system decision-making.

Desired expertise includes electricity markets and market analysis, power systems, energy systems, and grid operations. Strong programming skills in Python are highly valued, along with experience using artificial intelligence tools, machine learning frameworks, data analytics, simulation, and decision-support tools.

The post is led by Associate Professor Amir Ameli at Lakehead University in Canada. Applicants should submit a CV and a brief statement of research interests by email. Preference will be given to candidates currently residing in Canada or legally eligible to work in Canada.

Applications are reviewed on a rolling basis until the position is filled.

Funding details

Available

What's required

Applicants should have strong expertise in one or more of electricity markets and market analysis, power systems, optimization and mathematical modeling, or energy systems and grid operations. Strong programming skills, particularly in Python, are highly valued. Experience with artificial intelligence tools and applications for research and development, including machine learning frameworks and AI-assisted engineering workflows, is desirable. Experience in data analytics, simulation, and decision-support tools is also valued. Preference will be given to candidates currently residing in Canada or legally eligible to work in Canada.

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