Research associate (PhD student) (m/f/d)
- Employer
- Freie Universität Berlin
- Location
- 14195, Dahlem (DE)
- Salary
- "-"
- Closing date
- 12 Jun 2023
View more
- Discipline
- Mathematics
- Job Type
- PhD Position
- Employment - Hours
- Part time
- Duration
- Fixed term
- Qualification
- PhD
- Sector
- Academia
Fachbereich Mathematik und Informatik - Institut für Mathematik
AG Computational Statistical and Biological Physics
Research associate (PhD student) (m/f/d)
with 75 %-part-time job
limited to 3 years
Entgeltgruppe 13 TV-L FU
Reference code: MI-CSBP-23/1
The research group Computational Statistical and Biological Physics at the Department of Mathematics and Computer Science investigates dynamic processes in complex materials. In order to understand how macroscopic phenomena emerge from properties at the nanoscale, we combine numerics and analysis of stochastic systems with state-of-the-art high-performance computing. We collaborate closely with the Zuse Institute Berlin and are internationally connected through our activities within the CECAM network.
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 a related field.
(Professional) Experience:
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.
Desirable:
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). You write and speak English fluently and bring first experience with authoring scientific texts.
All application quoting the reference code should be addressed preferably electronically in one PDF-file no later than June 12th, 2023 to Mr. Prof. Dr. Felix Höfling: f.hoefling@fu-berlin.de or postal to
Freie Universität Berlin
Fachbereich Mathematik und Informatik
Mr. Prof. Dr. Felix Höfling
Arnimallee 6
14195 Berlin (Dahlem)
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Freie Universität Berlin is an equal opportunity employer.
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