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Computational Chemistry Postdoc at ORNL to model ... (No replies)
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https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-Computational-Chemist-TN-37830/907098000/
Date: Sep 4, 2022
Location: Oak Ridge, TN, US, 37830
Company: Oak Ridge National Laboratory
Requisition Id 8587
Overview:
Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.
We are seeking a Postdoctoral Research Associate who will focus on ab initio and classical molecular dynamics simulations and machine learning methods to understand the chemistry of molten salts and design molten salts compositions for energy related applications. This position resides in the Chemical Separations Group of the Chemical Sciences Division, Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). In this role, you will perform computational studies aimed at understanding of thermodynamic and kinetic principles of ion pairing and coordination that govern the chemistry of molten salts at the forefront of the field through high-performance computing (HPC) and data science. Computational methods will primarily involve ab initio, force field-based, and machine-learning-based molecular dynamics simulations of molten salts. You will also work within a multidisciplinary multi-institutional team involving specialists in first principles calculations, data science, spectroscopy, and experimental characterization.
Major Duties/Responsibilities:
Basic Qualifications:
Preferred Qualifications:
Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to [email protected] with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.
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This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
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