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Archiv-Übersicht     Angebot Nr. 14122

Angebotsdatum: 23. Dezember 2020
Art der Stelle: Doktorarbeit
Fachgebiet: Physik > Angewandte Physik
Titel des Themas: Structure Formation in Granular Matter

Institut: Institute for Multiscale Simulation, FAU Erlangen
Adresse:
Prof. Thorsten Pöschel
Cauerstraße 3
91054 Erlangen
Tel.:    Fax.:
Bundesland: Bayern
Homepage: http://www.mss.cbi.fau.de/open-positions/
E-Mail Kontakt: mail

Beschreibung: Environment:

At the MSS, we investigate the multiscale physics of particulate systems. The MSS hosts an interdisciplinary research team with a unique combination of scientists working numerically, theoretically and experimentally.

Topic:

In driven granular systems even simple local particle interactions can lead to the formation of many-faceted, often unexpected structures on the global scale. The underlying self organization processes are due to the interplay of dissipation and excitation which is characteristic for granular systems. The aim of the project is to characterize and understand the corresponding dynamics by means of numerical simulations as well as methods of statistical physics and kinetic theory. Parts of the simulative/theoretic work is directly related to experimental research at the institute. Technical applications include the optimization of the raking process in powder-bed 3D-printing and the optimization of granular pipe flow.

Profile:

You are highly motivated and you are deeply committed to research. You are able to work independently and as part of a team. You are equipped with an analytical and critical mind-set and you communicate clearly and concisely.

Qualification:

- master’s degree in physics or related
- background in computational physics
- programming skills (e.g. C++, Python, Matlab)
- experience in particle simulations (e.g. DEM)

Application:

- one single pdf including your research
statement, your CV and, if applicable, a list
of your publications

- Please send your application to

Prof. Thorsten Pöschel
mss-recruitment@fau.de

applications will be considered until the position is filled.







Methoden:
Anfangsdatum: 23. Dezember 2020
Geschätzte Dauer: 3 Years
Bezahlung:
Papers:
Sonstiges:

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