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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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the next generation of PV technologies for beyond 2030. The new postdoctoral research position will use materials modelling techniques (DFT, molecular dynamics, machine learning potentials) to investigate
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, Physics, Computational Chemistry, Nanoscience, Chemical Engineering, or a related field. Strong background in modelling (electro)catalytic processes using periodic density functional theory (DFT) is
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Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department of Physics, City
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– such as taking statutory leave – then these may be taken into consideration. We are looking for someone with very strong knowledge of DFT-based electronic structure and lattice dynamics methods (DFPT and/or
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very strong knowledge of DFT-based electronic structure and lattice dynamics methods (DFPT and/or AIMD-derived phonons), as well as experience in scientific programming and HPC environments. You are
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, MD simulation, DFT modeling) Numerical methods in mechanics of materials for fatigue If interested, please send your application materials with the subject line “Postdoc in AM” to Dr. Amir Mostafaei
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the unit — one of the main national EPR facilities in France and part of the Infranalytics analytical chemistry research infrastructure (CNRS FR2054). Where to apply Website https://emploi.cnrs.fr/Candidat