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(Immediate) Post Doctoral position in Computational Materials Science (NTU, Singapore).
We are looking for a highly motivated Post Doctoral candidate (Research Fellow) with expertise in Computational Materials Science.
He/she will perform high-throughput compound prediction approaches combining data mining and DFT phase stability computations to identify p-type transparent conducting oxide. This screening will be performed mainly at the DFT or hybrid functional level. The most promising materials will be also studied extensively by more advanced techniques including GW or with more expensive properties such as mobilities through electron-phonon computations. The project combines theoretical and experimental high-throughput screening to discover new p-type transparent conducting materials for photovoltaics and electronics applications.
Applicants must have a PhD degree in materials science, chemistry or physics (or equivalent). Previous experience in ab initio computing and density functional theory (DFT) is required as well as good coding skills especially in python. Experience in high-throughput computing is an advantage. Applicants with relevant experience and publication track records will be considered favorably.
The candidate will be jointly supervised by Prof Geoffroy Hautier (Dartmouth College), and Prof Lydia Wong (NTU).
Interested applicants may send their CV (with publication list) to Prof Lydia Wong: Lydiawong@ntu.edu.sg
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