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Multiple Ph.D. Positions ÉMT de l’INRS Québe ... (No replies)

InsilicoMatters
3 years ago
InsilicoMatters 3 years ago

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 inevitable disorder present in materials. This critical research problem will be tackled with the aid of advanced modeling techniques (capable of analyzing materials from nano- to electronic- scales and under practical conditions), interdisciplinary approach, and experimental collaborations. The person appointed will work as part of a newly established interdisciplinary team focused on developing novel energy materials and will have access to world-class computational facilities and collaborations.

Research area: Computational materials design, Sustainable energy, Disordered materials, Catalysis, Fuel cells, Quantum and classical mechanics simulations, Nanomaterials, Machine learning

Institution: Centre Énergie Matériaux Télécommunications de l’INRS, 1650 Boulevard LionelBoulet, Varennes, Quebec, J3X 1S2, Canada

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: Applicant should have strong academic and publishing record in computation material design and computational modelling techniques like VASP, DFT, TDDFT, AI etc.

Applicant should have a degree (M.Sc.) in Materials Science, Physics, Chemistry, or equivalent and must be fluent in English or French (orally as well as in written).

He/She should be able to work independently as well as with a team. His/Her ability to demonstrate critical and independent thinking will be invaluable assets. 

 

Please apply here. 




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Ab initio (from electronic structure) calculation of complex processes in materials