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Assistant Scientist-term Computational position ... (No replies)
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The Materials Science Division (MSD) seeks an Assistant Scientist-term to join the Molecular Materials group and work on research and development of AI for Materials Chemistry related to energy storage and conversion. The successful candidate will work closely with scientists and postdocs in varieties of scientific domain and projects, including molecular/materials discovery for energy storage, development of autonomous electrochemistry protocols, and data-driven approach for catalysis for decarbonization.
Position Requirements
Knowledge, Skills and Experience:
PhD degree in Chemistry/Chemical Engineering/ Materials Science, or in a related field.
Research experience in employing first principles simulations for molecular chemistry and materials science demonstrated from peer reviewed publications.
Significant, demonstrated experience in machine learning related to Energy Storage.
Knowledge in simulations related electrochemistry.
Programming experience in one or more programming languages (Python or C+).
Knowledge in using high performance computing platforms for materials science and chemistry.
Demonstrated ability to write good quality peer reviewed publications.
Effective communication skills, both verbal and written.
Ability to exercise independent judgement and critical thinking.
The position is initially for 1 year term. The position is renewable upon follow-up funding and satisfactory performance in terms of publications, presentations, and new collaborative funding.
Apply via: https://argonne.wd1.myworkdayjobs.com/en-US/Argonne_Careers/job/Argonne-National-Laboratory/Assistant-Scientist-term-Computational_412722