TraCS - Training in Computational Science
Description: The use of computing is revolutionizing research, industry, government and society, and new skills are needed to be competitive. The COMPSCI doctoral program will train science researchers and innovators with disciplinary, interdisciplinary and transferable skills and a foundation in computational methods to become Europe’s digital leaders across disciplines and sectors. COMPSCI is a 5-year program applying for 32 PhD positions of 36 months each in two calls over the program period, a total of 1152 researcher months. COMPSCI will be based on an open, transparent and merit-based selection process open to candidates from any nationality. The program emphasizes the development of computational skills and application and integration of these skills in a research project, in addition to transferable skills training in a cross-sector secondment. Candidates will go through an initial intensive training in computational methods and will then apply these skills in a research project in their science discipline – bioscience, geoscience, chemistry, materials science, physics, astronomy or mathematics – in top international, interdisciplinary research groups. This provides the candidates with skills that improve employability and their impact in their field of research, forming a basis for an exceptional career in research or innovation. The program will be hosted by the Faculty of Mathematics and Natural Sciences at the University of Oslo, Norway. The University of Oslo is leading in research and innovation in Norway and ranked as the top three university in Scandinavia (Shanghai, 2019). The program will include 35 secondment host institutions. The computational training program will be organized by the Center for Computing in Science Education – a leading hub for the integration of computing in education programs. The overall budget of COMPSCI is €8,623,872, of which € 2,603,520 (30%) are requested by the EC and 6,020,352 (70%) are covered by UiO.
Funder: European Commission
Amount: €2,604,000
Funding type: fellowship
Funder scheme: H2020 - MSCA-COFUND
Start date: 2021-08-01
End date: 2026-07-31
Institution: UNIVERSITETET I OSLO
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Funded outputs count: 59
Funder award ID: 945371
OpenAlex ID: G8073093154