1 PhD + 1 PhD/Postdoc position: Coarse-grained models for dynamically asymmetric liquid mixtures under non-equilibrium conditions

Job Offer from July 25, 2022

The Theory Department of the Max Planck Institute for Polymer Research (MPIP), headed by Professor Kurt Kremer, and the group of Professor Michael Vogel in the Condensed Matter Physics Department at the Technical University of Darmstadt seek to hire 2 researchers for the study of non-equilibrium dynamics in ionic liquid systems. This inter-institute collaboration is part of a collaborative research center on "Multiscale Simulation Methods for Soft Matter Systems" (https://trr146.de), providing a dynamic, supportive research community for the successful applicants.

The project will employ a multiscale simulation approach, utilizing both atomically-detailed and coarse-grained molecular simulation models to understand the effect of shear flow on structural and dynamical properties of both traditional and polymeric ionic liquids. The Ph.D. position in the group of Professor Michael Vogel will focus on running and analyzing shear-flow molecular dynamics simulations of various ionic liquid systems, using existing models and expertise in glassy dynamics within the group. The MPIP position, which may be a Ph.D. or postdoctoral position depending on the experience of the candidate, will have a similar focus, but in the context of polymeric derivatives of ionic liquid cations. This work may also involve the development/extension of coarse-grained models using systematic, bottom-up approaches, and also potentially some code development within the Espresso++ simulation package.

Applicants should have a strong interest in molecular simulations, multiscale modeling, and the physics of complex materials while also having exposure to some of the following topics:

  • statistical mechanics
  • stochastic dynamics
  • programming (in particular some experience with Python)

Demonstration of strong programming skills, a solid mathematical background, or previous experience with numerical methods is highly desired.

Applicants are asked to send a single PDF document that includes their CV, transcripts, and the name of two scientists who can provide a recommendation to rudzinski@mpip-mainz.mpg.de. Please do not hesitate to direct informal inquiries concerning this position to: Dr. Joseph F. Rudzinski (rudzinski@mpip-mainz.mpg.de). Deadline is September 15, 2022.

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