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Machine learned forcefield for complex materials ... (No replies)

sandip
4 years ago
sandip 4 years ago

One postdoctoral position is available immediately in the quantum chemistry group of BASF SE, Ludwigshafen, Germany. We are looking for an outstanding candidate with a recent PhD degree associated with electronic structure methods and atomic-scale simulations for solid-state materials. Strong expertise in python code development is essential. Familiarity with high throughput workflows management system such as fireworks and hands-on experience with Data science workflow is desired.  Past experience of forcefields and machine learning techniques will be preferred. The project involves developing and testing  Machine learned forcefields for describing bulk and surface properties of complex materials, relevant for applications like catalysis, battery research etc in close collaboration with our academic partner in the University of Cambridge, UK.

Screening for the potential candidate has been started and will continue until the position is filled. Apply online here.




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Ab initio (from electronic structure) calculation of complex processes in materials