Nia Pollard received funding support from the Quantum Science and Engineering Center (QSEC). She is studying quantum information sciences as it applies to chemistry. For more information about QSEC, please visit https://qsec.gmu.edu.
A post-doctoral position in computational chemistry is available in the Department of Chemistry and Biochemistry at George Mason University (Fairfax, VA) under the direction of Prof. Andre Clayborne. The research will focus on developing a machine learning protocol for identifying molecules for quantum information systems and molecular electronics. Additionally, the researcher will be using simulation methods to understand the electronic properties of various molecules. The candidate will be part of a multidisciplinary team involving experimentalists and industrial partners.
Applicants must have a Ph.D. in chemistry, chemical engineering, physics, bio-informatics, or related fields. The ideal candidate should meet the following requirements:
Possess knowledge of Computational Chemistry/Physics Software packages
Be able to demonstrate strong skills in Python and related machine learning packages; and
Candidates must possess the ability to work independently and collaboratively as part of a multi-disciplinary team.
The position is for 1-year and may be extended upon mutual agreement. For full consideration, please apply by 06/30/21. View the full advertisement at https://jobs.gmu.edu/ position number F067Az
Grateful to the National Science Foundation Division of Chemistry Chemical Theory, Models, and Computational Methods program for funding. We are excited to work on modeling and machine learning with the Lewis Research Group at Howard University.