ENCCS is looking for a Machine Learning expert to become a new member of our team.
The work encompasses the development of scientific software and supports users to move to (pre)exa-scale systems, as well as some teaching responsibilities equivalent to 20% of the time, such as training and workshops. The researcher is expected to help re-formulate scientific problems to enable scaling to much larger computational resources than used today. For the users of the largest amounts of national computational resources today, the researcher will identify applications of particular scientific, industrial, and societal relevance and improve their performance/scaling, in particular with GPU acceleration. Also, support to strategically selected new projects that have previously not used large-scale computational resources will be given, with the goal of reaching technical maturity to run in EuroHPC.
Candidates should have a PhD degree or equivalent in computer science, computational science, and in a science area using machine learning or in material science. Proven experience in developing and working with large scientific codes on large HPC systems. Excellent knowledge of parallel computing (MPI, OpenMP, GPU, etc.) as well as knowledge of machine learning techniques is wishful. Good knowledge of Linux is required. Great emphasis will be placed on personal competence and suitability.
Experience with designing software for large-scale computing for application areas is a merit. Experience in developing APIs (preferably in C, C++, or python) good knowledge of python, NLP and HPDA techniques is a merit.
The application: Please submit your application including:
- CV – including list of publications
- a letter describing your skills and motivation to apply for the position (max 1 page)
Starting date: As soon as possible or as otherwise agreed.
Type of employment: Permanent full-time position, probationary period may be applied alternatively Temporary part-time position ending 31-08-2022.
Scope of employment: 100%
For further information about the position please contact: Lilit Axner, email@example.com
Please submit your application by 1 April 2021, UFV-PA 2021/858.
Position is no longer available for application.