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Merged Calcul Bot requested to merge job_c398b8394f28a4083fe5f961c591b587 into master Sep 20, 2021
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Title: Post-doctoral Position in High Performance Computing (HPC) for multi-physics applications
Date: 2021-09-20 07:37
Slug: job_c398b8394f28a4083fe5f961c591b587
Category: job
Authors: Xavier Besseron
Email: xavier.besseron@uni.lu
Job_Type: Post-doctorat
Tags: postdoc
Template: job_offer
Job_Location: Esch-sur-Alzette, Luxembourg
Job_Duration: 2 years
Job_Website: http://luxdem.uni.lu/
Job_Employer: University of Luxembourg
Expiration_Date: 2021-10-31
Attachment: job_c398b8394f28a4083fe5f961c591b587_attachment.pdf

Job description for a Post-doctoral Position in High Performance Computing (HPC)

The University of Luxembourg (UL) invites applications for a post-doctoral position (f/m/d)
as part of an industry collaboration funded by the FNR Bridges funding instrument
https://www.fnr.lu/funding-instruments/. The starting date is to be arranged as soon as
possible to start the project.

https://recruitment.uni.lu/fr/details.html?nPostingTargetId=96181

Research Framework:
In order to deal with critical fuels that otherwise have to be disposed of, co-firing of these
fuels in existing combustion plants is a an economic alternative. However, these critical fuels
distinguish themselves significantly from the fuel the combustion technology was designed
for and therefore, may have a negative impact on operation. Rather than investing into cost-
intensive and time-consuming experimental campaigns, a multi-physics digital twin in a high
performance computing environment allows exploring various co-firing scenarios in a cost-
effective manner. Combining multi-physics i.e. motion and thermal conversion of solid fuels
with a reacting gas phase requires a smart partitioning technology. It is the key technology to
fast multi-physics digital twin simulation technology and paves the road to innovative
approaches for co-firing of critical fuels.

Your profile:

  • PhD degree in computer science, computational science or equivalent required to pursue a post-doctoral study
  • Familiar with parallel computing programming models (OpenMP and MPI)
  • Proficient in programming and working with C++, Python, Linux, Git
  • Experience in using HPC platforms (e.g. SLURM)
  • Background in load-balancing techniques (i.e. graph partitioning with METIS, SCOTCH, Zoltan, ...)
  • Knowledge in numerical simulations, e.g. Computational Fluid Dynamics, or coupling of numerical simulations would be a significant advantage
  • Good English language skills (spoken and written)
  • Willingness to familiarise with XDEM (http://luxdem.uni.lu/) and to work in an inter-cultural and international environment
  • Ability to work independently and as part of a team
  • Curiosity and self-motivation
  • Good presentation skills will be an asset.

We offer:

  • A dynamic and well-equipped research environment within XDEM research team (http://luxdem.uni.lu/)
  • Intensive training in scientific and transferable skills, participation in schools, conferences and workshops.
  • Fixed term employee contracts totalling 24 months
  • Personal work space at University of Luxembourg

Job responsibility:
Your primary tasks as a post-doctoral candidate are to:

  • Manage and drive forward your research project.
  • Attend trainings and social events.
  • Write scientific articles
  • Disseminate your research at conferences and seminars.

Gender policy:
UL strives to increase the proportion of female post-doc students in its faculties.
Therefore, we explicitly encourage women to apply.

Supervision:
Your lead supervisor will be Prof Bernhard Peters.

Application submission:
Before proceeding with the submission of your application, please prepare the following
documents.

  • Curriculum vitae
  • Motivation letter (maximum two pages) detailing how you meet the selection criteria for the given research direction.
  • Publication list.
  • Full contact details of two persons willing to act as referees.
  • Copies of diplomas, transcripts with grades, with English, French or German translation.

Please send a complete application to bernhard.peters@uni.lu. Please note that incomplete
applications will not be considered.

Selection process:
Candidates will be short-listed based on the criteria detailed above. Short-listed candidates
will be invited for an interview and/or interviewed through appropriate internet channels.

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Source branch: job_c398b8394f28a4083fe5f961c591b587