New job offer job_1b699b319b80902846f599c73053ec94
Title: HPC Research Engineer for Elastic Ensemble Runs and Large Scale Data Processing
Date: 2021-06-30 06:42
Authors: Bruno Raffin
Job_Duration: 2 ans
Job_Employer: Univ Grenoble Alpes
See https://jobs.inria.fr/public/classic/fr/offres/2021-03490 for full description
The candidate will join the DataMove INRIA team located on the campus of the Univ. Grenoble Alpes near Grenoble. The DataMove team is a friendly and stimulating group with a strong international visibility, gathering Professors, Researchers, PhD and Master students all pursuing research on High Performance Computing.
This work is part of a joint collaboration with international industrial and academic partners. This work experience will bring you skills related to high performance computing, statistics and deep learning that are in high demand.
Hiring date is flexible. We expect to hire the candidate in June 2021, but we have the possibility to start the contract sooner if we find a good candidate or even later to accommodate some specific situations (titulation for instance).
The city of Grenoble is surrounded by the Alps mountains, offering a high quality of life and where you can experience all kinds of mountain related outdoors activities and more.
The engineer work will work on the Melissa (https://gitlab.inria.fr/melissa) development and side activities, mainly:
- Melissa framwework consolidation and extension. One objective is to make it more generic to support a larger variety of ensemble run based computations. Working in close direction with master and PhD Students as well as external collaborators.
- Preparing, developing, running and analyzing large scale Melissa enabled applications. The engineer will have access to a panel of word-class supercomputers like Jean-Zay at Idris or Juwels at Julich, as well as smaller ones for prototyping.
Through this work the engineer will consolidate her/his expertise in high performance computing, high performance data analysis and gain knowledge on deep learning, reinforcement learning, data assimilation. She/he will integrate a dynamics research team, be involved in research activities including preparation of scientific publications. She/he will have the opportunity to interact with other research teams as well as industrial partners involved with Melissa (EDF R&D for instance), and as such may have to make some short travels in France and abroad.