Multiple Ph.D. Positions

Centre Énergie Matériaux Télécommunications de l’INRS, 1650 Boulevard Lionel-Boulet, Varennes, Québec, J3X 1S2, Canada

Posted 4 years ago

Institut National de la Recherche Scientifique (INRS) is dedicated exclusively to graduate-level research and training covering four main areas of research: Energy, Materials, and Telecommunications; Social Sciences; Environment and Geosciences; and Health and Biotechnology. Since its creation in 1969, the institute has built its success on interdisciplinarity, innovation, and excellence. In Québec, it has ranked first for twelve years now in terms of research intensity. In Canada, it has risen from second to first place for the year 2018-2019, with the highest funding received per faculty member and student member.

Project description: The successful applicant will work on an exciting research program that has the potential to push sustainable energy technologies beyond their current limits. This program will specifically focus on designing efficient and affordable materials for sustainable catalysis and/or fuel cell applications by manipulating their fundamental properties. This critical research problem will be tackled with the aid of advanced modeling techniques, machine learning, and experimental collaborations. The person appointed will work as part of an interdisciplinary team focused on developing novel energy materials and will have access to world-class computational facilities and collaborations.

Keywords

Materials and Chemical Engineering
Computational modeling
Sustainable energy
Catalysis Fuel cells
Machine learning

Job Features

Project title

Designing efficient and affordable energy materials via computational modeling

Research advisor

Dr. Kulbir Kaur Ghuman, Assistant Professor, Canada Research Chair (Tier 2) in Computational Materials Design for Energy and Environmental Applications

Financial support

All students are entitled to receive financial support during their graduate studies. Moreover, students are also invited to apply for external scholarships from FRQNT, NSERC, etc.

Eligibility

A degree (M.Sc.) in Materials Science, Physics, Chemistry, or equivalent. Must be fluent in English or French (orally as well as in written). Be able to work independently as well as with a team. Should have ability to demonstrate critical and independent thinking will be invaluable assets. Should have relevant experience to the project (ML, DFT scientific writing etc)

Location

Montreal Area, Quebec

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First and Last Name*

Do you have experience working with machine learning? If your answer is "yes", please explain the details in the cover letter. *

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Do you have experience in computational modelling? If your answer is "yes", please explain the details in the cover letter. *

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Do you have experience (course work or research) in energy materials?*

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Please attach your cover letter, resume and transcripts in PDF format. Please highlight your contributions and milestones in computational material design, energy materials and/or machine learning

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