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Job Record #17376
TitleHigh Performance Computing (HPC) for Digital Twins
CategoryJob in Academia
EmployerUniversity of Luxembourg
LocationLuxembourg, Luxembourg
InternationalYes, international applications are welcome
Closure DateWednesday, December 01, 2021
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 The starting date is to be arranged as soon as possible to start the project.

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 ( 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 (
    • 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.

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 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.
Contact Information:
Please mention the CFD Jobs Database, record #17376 when responding to this ad.
NameBernhard Peters
Email ApplicationYes
Phone(+352) 46 66 44 54 96
Fax(+352) 46 66 44 52 00
AddressCampus Kirchberg
6, rue Coudenhove-Kalergi
L-1359 Luxembourg
Record Data:
Last Modified09:47:23, Wednesday, September 29, 2021

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