The Institute for Computer Science at the Johannes Gutenberg University Mainz and the Max Planck Institute for Polymer Research Mainz (MPI-P) jointly invite applications for a PhD student or PostDoc position in the areas of machine learning for computational physics. The position is affiliated with the DFG Collaborative Research Centre “TRR 146: Multiscale Simulation Methods for Soft Matter Systems” (www.trr146.de).
The research focuses on exploring the links between recently-developed deep learning methodologies and multiscale simulation techniques applied to soft-matter materials. The successful applicant will have the opportunity to contribute to cutting-edge research between computer science and condensed-matter physics. We offer a stimulating scientific environment with excellent facilities for professional and personal development. The position is open to applicants from both natural science (such as physics/chemistry) and computer science. We seek applicants with either background with demonstrated affinity to the other subject area. In all cases, we look for strong programming skills and a solid algorithmic and mathematical background. Prior exposure to machine learning and statistical physics will be considered a plus. We are interested in filling the position as soon as possible.
Applicants are asked to send their application to [log in to unmask] or [log in to unmask] The ideal application consists of a single PDF document that includes your CV, transcripts, and the name of two scientists who can provide a recommendation. Please do not hesitate to direct informal inquiries concerning this position to:
Dr. Tristan Bereau ([log in to unmask])
Prof. Michael Wand ([log in to unmask])
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