Commit c43435fa authored by Benoit Fabrèges's avatar Benoit Fabrèges
Browse files

Update job_c398b8394f28a4083fe5f961c591b587.md

parent 09a1eb5e
Pipeline #14585 passed with stages
in 50 seconds
......@@ -16,71 +16,69 @@ 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.
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
<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.
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.
- 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/)
* 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
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.
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment