Researcher - Hiring in process/Finished, not possible to apply

The Department of Information Technology has a leading position in research and all levels of higher education. Today the department has 280 employees, including 120 academic staff and 110 full-time PhD students. The Department comprises research and education in a spectrum of areas within Computer Science, Information Technology and Scientific Computing. More than 4000 students take one or several courses offered by the Department each year. The Department hosts the local computing centre UPPMAX, the office of the national infrastructure SNIC and The EuroCC Competence Center Sweden ENCCS.

EuroHPC (https://eurohpc-ju.europa.eu/ ) is a 1,5 billion Euro joint initiative between the EU and European countries. It allows the participating countries to coordinate their efforts and share resources with the objective of deploying in Europe a world-class supercomputing infrastructure and a competitive innovation ecosystem in supercomputing technologies, applications and skills. In EuroHPC, European and national resources are pooled with the aim of:

• acquiring and providing a world-class petascale and pre-exascale supercomputing and data infrastructure widely available to users from the public and private sector, to be used primarily for research purposes. Here Sweden participates in the LUMI consortium (https://www.lumi-supercomputer.eu/ ).
• supporting an ambitious research and innovation agenda to develop and maintain in the EU a complete, world-class High-Performance Computing ecosystem, exascale and beyond.

The Swedish node in the EuroHPC Competence Center, ENCCS, is hosted by Uppsala University on behalf of the ten main research universities in Sweden. It is one of the 33 national competence centres in HPC across Europe, providing a broad service portfolio tailored to the respective national needs of industry, academia and public administrations. The aim is to support and further increase the national strengths of High Performance Computing (HPC) as well as High Performance Data Analytics (HPDA) and Artificial Intelligence (AI). The specific objectives of the Swedish node are to develop competence, knowledge and support in Sweden to aid users to better use EuroHPC for computation and training. The Swedish node will focus on assisting key user communities to enable applications on (pre)exa-scale resources, advising users how to achieve scaling and performance for scientific problems on EuroHPC resources, guide new industrial users to use HPC, support new AI/Data analytics applications, and provide training and skills development nationally throughout Europe. The Swedish node is established within the first EuroHPC CC project with the duration of two years, it started 2020-09-01, and it is with the perspective of further continuation.

The physical workplace of participants is in Stockholm.

Duties: The work encompasses the development of scientific software and support 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.

Requirements: 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.

Additional qualifications: Experience with designing software for large-scale computing for application areas are 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)

Salary: Individually negotiated salary.

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.

For further information about the position please contact: Lilit Axner lilit.axner@it.uu.se.

Please submit your application by 1 April 2021, UFV-PA 2021/858.

If you are an international candidate, you will find a lot of information about working and living in Sweden at www.uu.se/joinus.