FieldsData science, workflows, materials data analysis, high performance computing.
Project description
As part of the French national project NUMPEX (Numerics for Exascale), we are looking for an engineer or researcher specialising in data science and workflows. The aim of NUMPEX is to work on the software stack of the future French exascale computer. In this context, we are looking for someone to work more specifically on the workflow infrastructure and in particular the problem of interoperability between the various workflow engines. One of the objectives will be to be able to operate both the data providers, particularly the experimental ones, and the supercomputers, with the aim to enable complex data analyses on experimental data, combining experimental analyses, simulations and artificial intelligence.
In this context, the person will have to work in close collaboration with computer scientists from various French centres (IMAG, IRISA, INRIA) as well as with experimentalists, notably based at CEA-Grenoble and ESRF – The European Synchrotron.
Profile and qualifications
The candidate should have a good IT background. Physics knowledge will be an asset, especially in the area of data analysis. Good communication skills in English and the ability to work in a research team are required.
How to apply
Scientific environment and workplace
The successful candidate will join the research team of the Interdisciplinary Research Institute of Grenoble (IRIG) working at the Materials Exploration Modeling (MEM) Laboratory.
Located in the French Alps and surrounded by a stunning natural environment, the international city of Grenoble represents an extremely rich ecosystem formed by public research organizations (CEA, CNRS, ESRF, ILL) and high-tech companies. In addition, the Université Grenoble Alpes attracts a large number of students who can benefit from high-level academic training in a broad range of disciplines.
The candidate will play an active role in the national NUMPEX and DIADEM projects (accelerating the discovery of materials using AI), as part of this, he/she will take part in various meetings with the largest French computer science laboratories.
More information about the scientific environment and the research group about