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CFD Jobs Database - Job Record #19098

Job Record #19098
TitleReinforcement Learning for Turbulence Modelling
CategoryPhD Studentship
EmployerUniversity of Stuttgart
LocationGermany, Stuttgart
InternationalYes, international applications are welcome
Closure DateFriday, May 31, 2024
Description:
The Numerics Research Group at the IAG is looking for a research associate at the doctoral level for an exciting research project as soon as possible.
Within this project, we will explore the potential of reinforcement learning strategies for turbulence modelling.

The tasks include
  • Simulation of complex turbulent flows on HPC systems
  • Implementation of reinforcement learning strategies
  • Development of data-driven closure models

  • Requirements
  • Master’s degree or equivalent in engineering or related fields, preferably with a background in numerical methods for PDEs, machine learning or turbulent flows
  • Exposure to high order numerical methods, research software and development
  • Fluency in either German or English (written & oral)

  • The IAG encourages publication of results in scientific journals and supports participation in international conferences. The position is initially limited to three years, but an extension beyond this period is possible.
    The IAG is committed to increasing the number of female scientists. Severely disabled persons are given priority if equally qualified.

    Links
  • Numerics Research Group
  • Institute of Aerodynamics and Gas Dynamics
  • Faculty Aerospace Engineering and Geodesy
  • University of Stuttgart
  • Contact Information:
    Please mention the CFD Jobs Database, record #19098 when responding to this ad.
    NameAndrea Beck
    Emailapplications.nrg@iag.uni-stuttgart.de?Subject=RLLES-CFD
    Email ApplicationYes
    URLhttps://www.iag.uni-stuttgart.de/en/
    AddressProf. Dr.-Ing. Andrea Beck
    University of Stuttgart
    Institute of Aerodynamics and Gas Dynamics
    Pfaffenwaldring 21
    70569 Stuttgart
    Germany
    Record Data:
    Last Modified14:35:16, Thursday, April 11, 2024

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