Data-Driven Catalysts Expert
2 days ago
The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics.
Our VisionOver the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. We are committed to fostering a dynamic and inclusive environment that encourages collaboration and innovation.
Job Description- The Research Fellow will work under the supervision of Dr. Fan Hongjin to investigate the mechanism of atomic catalysts using in-situ and/or operando techniques and theoretical calculations
- The successful candidate will be expected to make regular progress reports to PI and write 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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