The Computational Statistical and Biological Physics group invites talented candidates committed to theoretical and simulation-based research to apply for a fully funded position as

PhD student (f/m).

The contract starts as soon as possible and is limited to 3 years. The salary corresponds to a full PhD position and is 75% of the German payscale E13 TV-L FU.

Job description:

Fluid transport through porous media receives sustained research interest, in view of the availability of tailored nano-porous sieves, increasingly also on the molecular scale. For disordered host structures exhibiting a percolation transition, the pore space becomes self-similar and maze-like, which leads to a complex interplay with the fluid flow and the molecular discreteness. Similarly as for gas particles in random hosts, one expects critical slowing down and a number of transport anomalies to arise.

At the interface of high-performance computing and statistical physics, you will develop and carry out large-scale numerical experiments using state-of-the-art computing facilities. To accomplish this, you will be trained in and employ non-equilibrium molecular dynamics simulations, advanced time series analyses, and concepts from statistical physics.

Requirements:

M.Sc. in Physics, Theoretical Chemistry, Applied Mathematics, or related fields

Desired qualifications:

You have a solid background in theoretical physics or applied mathematics, with proven expertise in at least one of the following subjects: non-equilibrium statistical mechanics, stochastic processes, fluid state theory, or molecular dynamics. Ideally, your master's thesis connects to a problem in transport theory, random media, critical phenomena, or anomalous diffusion. Further, you have very good skills in scientific software development (modern C++, Git) and with compute clusters (scripting, Linux shell). Please note that a background in traditional computational fluid mechanics does not meet the project
requirements.

The complete text of this job offer has been published in FU Stellenanzeiger. Please submit your application electronically as a single PDF document (including CV, certificate copies and transcript, statement of research interests, code sample(s)) quoting the reference code MI-CSBP-23/1 to Prof. Dr. Felix Höfling. Applications will be reviewed on a  rolling basis until the position is filled.