新加坡南洋理工大学与美国达特茅斯学院(常春藤成员)联合招聘DFT材料计算方向博士后
新加坡南洋理工大学与美国达特茅斯学院(常春藤成员)联合招聘高通量DFT材料计算方向博士后
课题方向为基于DFT计算筛选出P型半透明导电氧化物，会用于太阳能电池等光电器件。
申请人需要有材料科学、化学、物理方向或相似学科方向的博士学位，并且具有第一性原理计算与python编程相关的知识储备，有发表相关论文者优先考虑。
具体信息和要求请看下面原邮件（代老板发布）
祝好！
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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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