\\n EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 17,000 people, including over 12,500 students and 4,000 researchers from more than 120 different countries.

HPC Application Expert

Your mission :

The Square Kilometer Array (SKA) will be a next-generation radio telescope that will help to answer key questions in astrophysics, drive technological innovation and support human capital development. The SKA Regional Centres (SRCs) will be organisations in SKA member countries which together will provide a collection of both services and infrastructure that will comprise a global capability to distribute, process and curate the data from the SKA telescopes.

The SCITAS platform provides EPFL researchers and partners with access to infrastructure and expertise in High Performance Computing (HPC). SCITAS also contributes to research and development activities so as to maintain the EPFL\\\'s reputation as a leading research facility, including SKA scientific activities.

To strengthen our team, we are seeking an HPC Software Expert. In this role, you will work closely with EPFL researchers to develop and maintain high performance scientific codes in high profile projects such as the Square Kilometer Array.

Main duties and responsibilities include :

• HPC scientific application development and optimization in collaboration with EPFL scientists
• Scientific software R&D in order to advance the platform technology
• Operational support to users when needed

Your profile :

Applicants must have :

• A Ph.D. OR a Master\\\'s degree + 3 years of experience in computer/computational science, applied mathematics, or physics
• A proven record in HPC and HTC scientific software development
• Good knowledge of Python/C/C++
• Good knowledge of HIP/CUDA
• Good knowledge of workflow architecture with Dask or CWL
• Experience with performance profiling tools

Applicants should have :

• Demonstrated experience in an academic environment
• Knowledge of astrophysics and radio astronomy
• French and English at working level

We offer :

• A dynamic, interdisciplinary and international working environment
• An internationally visible and rising academic institution in HPC
• Privileged contact with state-of-the-art technological developments
• Access to many continuing education courses

Start date :
ASAP

Term of employment :
Fixed-term (CDD)

Work rate :
100%

Duration :
1 year

Remark :
Only candidates who applied through EPFL website or our partner Jobup\\\'s website will be considered. Files sent by agencies without a mandate will not be taken into account.

Reference :
Job Nb 3084\\n \\n \\n \\n \\n \\n

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