Atomic Catalysts Investigator
2 days ago
We are seeking a highly motivated and skilled Research Fellow to join our team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore.
Project OverviewThe project focuses on data-driven discovery of atomic catalysts. The successful candidate will contribute to this project by making theoretical predictions using DFT and machine learning, as well as mechanistic understanding of atomic catalysts.
Key Deliverables- Theoretical predictions using DFT and machine learning, and mechanistic understanding of atomic catalysts
- Investigation of mechanism by in-situ and/or operando techniques and theoretical calculations
- Regular progress reports to PI
- One proposal based on results obtained from this project for external grant
- A PhD degree in material sciences or applied physics, with focus on renewable energy
- Evidenced experience in DFT and machine learning especially its application in atomic catalysts
- Strong publication record on the topic of renewable energy materials especially electrocatalysis
- Entry level candidates are welcome to apply
- Strong motivation to undertake grand challenges in multidisciplinary subjects
- Excellent team player who is capable and willing to provide supports in a dynamic and interdisciplinary environment
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