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PhD student - Machine-learning methods for CFD (R1)

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Barcelona

Requirements

  • Education
  • MSc in computational fluid dynamics
  • Essential Knowledge and Professional Experience
  • Experience in CFD development (at least 3 years)
  • Knowledge in large eddy simulation models (at least 3 years)
  • Experience in large-scale simulation at high speed (wall models for LES, complex mesh generation, industrial simulations, etc.) (at least 3 years)
  • Understanding of HPC clusters at a user level and experience programming MPI (at least 3 years)
  • Good programming level (python, C, Fortran, C++, etc.) (at least 4 years)
  • Additional Knowledge and Professional Experience
  • Good writing and oral skills (English is a must)
  • Competences
  • CFD development knowledge
  • Experience in large-scale CFD computations (meshing, running in HPC systems and post-processing large data sets)
  • Turbulence modelling (LES and RANS modelling, including wall modelling)
  • Experience in European projects

Responsibilities

  • To develop ML methods to accelerate CFD solvers
  • To validate the developed algorithms in relevant aeronautical test cases
  • To participate in the rest of the CFD activities of the LS/CFD team in CASE

FAQs

What is the application deadline for the PhD student position?

The closing date for applications is Tuesday, 26 November, 2024.

What are the essential qualifications required for this position?

The essential qualification for this position is a Master's degree (MSc) in computational fluid dynamics, along with at least 3 years of experience in CFD development, large eddy simulation models, and large-scale simulations at high speed.

Is previous experience in programming required for this role?

Yes, a good programming level in languages such as Python, C, Fortran, or C++ is required, with at least 4 years of experience.

What type of contract is offered for this position?

A full-time, open-ended contract is offered, due to technical and scientific activities linked to the project's budget duration.

Will I be working with a specific team or group?

Yes, the PhD candidate will be integrated into the Large-Scale Computational Fluids Dynamics group at the Barcelona Supercomputing Center and will collaborate with the Turbulence and Aerodynamics Research Group from Universitat Politècnica de Catalunya.

Are there any specific competencies that are required for this position?

Required competencies include knowledge of CFD development, experience in large-scale CFD computations, turbulence modeling (LES and RANS), and experience in European projects.

What kind of working environment can I expect?

The position offers a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, and a supportive working atmosphere.

Are employee benefits offered with this position?

Yes, the position includes benefits such as restaurant tickets, private health insurance, and support for relocation procedures, in addition to a competitive salary.

What is the expected starting date for the PhD candidate?

The expected starting date for the position is 1 December 2024.

Is knowledge of the English language required?

Yes, good writing and oral skills in English are required for this position.

Science & Healthcare
Industry
501-1000
Employees
2005
Founded Year

Mission & Purpose

The Barcelona Supercomputing Center (BSC) is a research institution specializing in high-performance computing, data science, and scientific applications. It focuses on advancing computational science and technology to tackle complex problems in fields like climate modeling, life sciences, and engineering. Their mission is to drive innovation and support scientific research through cutting-edge supercomputing resources and expertise.

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