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Postdoctoral Researcher (f/m/d): Data-driven Fr ... (No replies)
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The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. For more information visit https://www.casus.science/.
We are looking for a motivated candidate interested in developing a data-driven workflow for multiscale simulations of matter under extreme conditions.
The Scope of Your Job
Your primary objective is to contribute to the code development of a novel simulation framework for predicting phenomena in ambient and high energy density (HED) matter. The simulation framework is built around the LAMMPS code which drives large-scale spin-lattice dynamics simulations. Your research activities will include (1) developing a data-driven machine-learning workflow to generate interatomic potentials; (2) devising suitable models and numerical workflows to parametrize the interactions of electronic spins; (3) developing numerical workflows to couple lattice, spin, and electronic degrees of freedom.
You will work closely with scientists at CASUS who develop and apply numerical methodologies for materials science including quantum Monte Carlo, (time-dependent) density functional theory, quantum hydrodynamics, average-atom models, and machine learning. You will carry out your research in collaboration with our partners at international research institutions. Your project will contribute to the ambitious long-term goal of achieving a more accurate and consistent understanding of HED phenomena across multiple length and time scales.
Submit your application (including a one-page cover letter, a tabulated CV, copies of recent academic certificates, transcripts, diplomas, and degrees) online.
More details can be found here.