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Postdoctoral Position on Machine Learning Guided ... (No replies)
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Starting as early as 1st Nov 2021, a postdoc position is available at the University of Mississippi. The overarching goal for this position is to perform DFT calculations in combination with machine learning tools to design materials for energy applications. Significant computational resources will be available to perform these calculations. The computational work will be performed in close collaboration with scientists at three major US National Laboratories. The position may also offers an opportunity for the successful candidate to visit and perform research at one of these premier national laboratories. The initial appointment will be for two years with a possibility for an extension beyond the second year depending on the performance and availability of funding.
Job description:
The postdoc will perform DFT calculations in combination with machine learning tools to design the chemistry of metallic fuels for advanced nuclear reactors. The successful candidate will also have the opportunity to spend a fraction of his/her time to perform similar calculations for other energy materials including photovoltaics and/or battery materials. The candidate is also expected to mentor student(s) on DFT calculations.
Qualifications:
The candidate is expected to have a PhD in Physics, Materials Science or related field. A strong background in theoretical condensed matter physics and experience with electronic structure method(s) are essential. In particular, experience in electronic structure calculations of strongly correlated electrons is preferred. Previous experience with machine learning tools and python coding is an advantage but not required. Motivation to learn new computational tools to design novel materials is desired. US citizenship is not required for this position.
Applications:
All applications will be given immediate consideration and the search will continue until the position is filled. Candidates should submit a full CV, including a list of publications and achievements and a brief letter of intent (< 1 page) describing past research experience and computational expertise to Prof. S. Choudhury ([email protected]). Shortlisted candidates will be contacted separately for an online interview.