The University of Cambridge invites a postdoctoral researcher to develop and apply machine learning methods to atomistic simulations of materials, with emphasis on amorphous and disordered systems. Based in the Theory of Condensed Matter group at the Cavendish Laboratory, under Dr Christoph Schran.
You will generate reference data, train and validate ML interatomic potentials, and run large-scale MD on national HPC facilities, with scope to influence the project and collaborate across the
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Postdoc: ML Interatomic Potentials for Amorphous Materials in Cambridge employer: University of Cambridge
The University of Cambridge offers a dynamic and collaborative work environment, particularly within the Department of Oncology, where you will play a pivotal role in advancing cancer research. With a strong emphasis on employee growth, you will have access to professional development opportunities and the chance to work alongside leading experts in the field. The university's commitment to innovation and excellence ensures that your contributions will have a meaningful impact on clinical care and research outcomes.
