Research Associate

vor 1 Woche

Hamburg, Hamburg, Deutschland Technische Universität Hamburg Vollzeit
For the Institutes of and of the Hamburg University of Technology for the earliest possible date, we are looking for two (2):
RESEARCH ASSOCIATES (M/F/d) / WISSENSCHAFTLICHER MITARBEITER (m/w/d)

part time (75%) and for a maximum of 36 months. The remuneration is in accordance with TV-L 13.

No
:

10223WM8


The position is embedded in a prestigious DFG-funded Research Training Group (RTG) 2583 devoted to jointly hosted by the Univ.

Hamburg and Hamburg Univ. of Technology.

Applicants should perform research in the either of the following areas supervised by Prof. Sabine Le Borne (Position II) and Prof.

Thomas Rung (Position Ia/b):

YOUR TASKS

  • Ib: (1) Application of quantuminspired tensor network methods to formulate reducedorder models for wallbounded flows. (2) Formulation of classical Finite Volume building blocks using Matrix Product State and Matrix Product Operator formats. (3) Transfer of Tensor Network simulations to Quantum gate level simulations using variational quantum methods. Examples included should address laminar/turbulent attached and separated wallbounded engineering shear flows.
  • II: Applicants should perform research in the development of iterative solvers for linear systems of equations arising in fluid flow problems. Recently, a new meshfree discretization technique for partial differential equations based on radial basis functions has been introduced. The objective of this project is the development and analysis of rankstructured preconditioners for sequences of linear systems resulting from such meshfree discretizations of fluid flow problems.

YOUR PROFILE

  • Ia: Excellent Master Dregree in Mechanical Engineering, preferably Theoretical Mechanical Engineering, Industrial/Applied Mathematics or Scientific Computing
  • Ib: Excellent Master Dregree in Mechanical Engineering, preferably Theoretical Mechanical Engineering or Computational Physics, Industrial/Applied Mathematics, Scientific Computing
  • Proven competencies in applied mathematics and fluid dynamics.
  • Focus on computational fluid dynamics using finitevolume methods and fluid dynamic optimization approaches. Experience in (Ia) industrial CFD or (Ib) tensor network simulations is an asset
  • Background and knowledge of High-Performance Computing methods in CSE; sound background in physics of fluids; proven background in different programming paradigms
  • Experience in the use of HPCsystems, coding competencies in FORTRAN, PYTHON, C++
  • Excellent communication as well as proven language capabilities and team working skills.
  • II: Excellent Master Dregree in (Industrial/Applied) Mathematics or Scientific Computing
  • Excellent communication as well as proven language capabilities and team working skills
  • Proven competencies in applied mathematics (numerical linear algebra, numerical solution of partial differential equations).
  • Experience in programming/software development in PYTHON, C, and/or C++.
  • Excellent communication as well as proven language capabilities and team working skills.

OUR OFFER

  • Outside of duties, further scientific training is possible, the results can be used for a dissertation (PhD thesis)
  • Participation in structured education and training programs
  • Interdisciplinary/methodological collaborative research at the forefront of science
  • Transnational/Transdisciplinary working environment and culture
We particularly encourage women to apply. Due to their underrepresentation, they will be given priority incases of equal suitability, qualifications and professional performance.

Applications from outside Germany are very welcome. Applicants holding a non-German university degree should hand in their B.Sc. and M.Sc. transcripts of records as well as the final certificates in both() the original AND the English version.

The recruitment process will involve the collaborating academic PIs and documents submitted will be made available to the PIs involved, to enable a coordinated selection/recruitment.

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