ENCCS is looking for a Machine Learning expert to become a new member of our team.
Duties
The work encompasses the development of scientific software and support users to move to (pre)exa-scale systems. 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.
Since, along with other activities, ENCCS is focusing heavily on training, the applicant is expected to contribute in the organisation of workshops, preparation of training material, as well as teach on events related to their field of expertise.
Requirements
Candidates should have a PhD degree or equivalent in computer science, computational science, or in a science area using machine learning.
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.
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: Individual salary.
Starting date: 01-03-2021.
Location: Stockholm
Type of employment: Temporary position ending 31-08-2022.
Scope of employment: 100%
For further information about the position please contact: Lilit Axner, lilit.axner@it.uu.se
Please submit your application by 29 January 2021, UFV-PA 2020/4999.
Application
For more information on the position and application at the Uppsala University portal, follow the link below
https://uu.varbi.com/en/what:job/jobID:372188/type:job/where:4/apply:1
RECENT NEWS
