The University of British Columbia
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Postdoctoral Fellow in Digital Platforms, Energy Systems, and AI at UBC The University of British Columbia in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
One-year postdoctoral fellowship appointment, renewable subject to performance. No stipend amount or tuition details are stated.
Deadline
Nov 30, 2026
Country
Canada
University
The University of British Columbia

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About this position
Postdoctoral Fellow opportunity in digital platforms, integrated energy systems, machine learning, optimization, and AI at The University of British Columbia (UBC Point Grey Campus, Vancouver).
The position is with Mérida Labs and focuses on digitalization projects built around the UBC Smart Hydrogen Energy District, a city-scale testbed integrating renewable energy and hydrogen technologies. The research aims to develop digital platforms that generate novel datasets and models for questions in energy transition, decarbonization, and climate targets. The group also works with industry partners such as Siemens, TransLink, BC Hydro, and FortisBC.
Applicants should have a Ph.D. completed within the last 3 years in electrical engineering, computer engineering, computer science, data science, mathematics, or a related field. Strong programming skills (Python, C++, Java, SQL, MATLAB), Git, machine learning/deep learning, data analysis, and optimization experience are required. Experience with digital twin platforms, smart grid technologies, electric vehicles, renewable energy systems, transportation modelling, and scripting for automation is desirable.
The fellowship is for one year and may be renewed based on performance. Applications are reviewed immediately and the position is open until filled. To apply, send a cover letter and CV to Dr. Paolo Marcazzan at [email protected].
Funding details
One-year postdoctoral fellowship appointment, renewable subject to performance. No stipend amount or tuition details are stated.
What's required
Ph.D. in electrical engineering, computer engineering, computer science, data science, mathematics, or a related field completed within the last 3 years. Strong programming skills in Python, C++, Java, SQL, or MATLAB with Git version control. Experience with machine learning, deep learning, and data analysis tools such as Scikit-Learn, TensorFlow, PyTorch, Pandas, Grafana, real-time MQTT stack, and Node.js. Experience developing optimization models and using optimizers such as CPLEX or Gurobi. Excellent written and verbal communication skills, a publication record, ability to work collaboratively in an interdisciplinary team, and an entrepreneurial mindset bridging research and real-world applications. Desired: digital twin platforms, smart grid technologies, electric vehicles, renewable energy systems, transportation modelling, Bash and PowerShell.
How to apply
Prepare a cover letter and curriculum vitae, then email them to Dr. Paolo Marcazzan at [email protected]. Applications are reviewed immediately and the position remains open until filled.
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