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DSTrain - Data Science Postdoctoral Training Programme

Project description

A 5-year initiative to close the data science gap

The demand for skilled professionals in data science has never been more pressing. As data underpins technological, economic and societal advancements, the shortage of individuals adept in harnessing these opportunities poses a significant challenge. Both the public sector and industries are searching for candidates with stellar qualifications in data science, equipped to navigate cross-disciplinary projects. With the support of the Marie Skłodowska-Curie Actions programme, the DSTrain project offers a 5-year postdoctoral programme designed to cultivate 36 digital leaders in data science through comprehensive training and groundbreaking research. With a focus on research, education and cross-sectoral secondments, DSTrain positions its fellows at the forefront of shaping future technological developments.

Objective

DSTrain is a 5-year postdoctoral programme that will award 36 postdoctoral fellowship positions of 36 months each in two calls over the programme period within the overarching frame of data science. The programme will train researchers and innovators with disciplinary, interdisciplinary and transferable skills and a foundation in data science methods enabling them to become Europe’s digital leaders across disciplines and sectors.

Data Science (DS) is a fast-growing scientific area of high importance, playing a central role in all scientific investigations, and are essential to innovation in almost all domains across society. Data Science underpins the majority of today’s technological, economic and societal feats. Increasing amounts of data offer enormous opportunities, but only to those who are able to harness them. In order to utilize these opportunities, skills and competences in data science are necessary. Such skills will play an essential role in shaping future technological developments. There is a massive interest both in the public sector and in the industry for candidates with excellent qualifications in data science combined with the ability to use these skills in cross-disciplinary projects.

The DSTrain programme will facilitate ground-breaking research by emphasizing interaction between data science, computational science, natural sciences and technology. The programme will develop new research and educational strategies that will serve society at large. The postdoctoral fellows will be integrated in research groups across scientific disciplines where there is an urgent need for computationally skilled researchers. The research groups provide excellent research environments and supervision enabling world-class research, innovation and digital infrastructure, models for cross-disciplinary collaboration and training in research, including computational and transferable skills. The DSTrain program also includes a range of cross-sectorial secondments.

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-Cofund-P - HORIZON TMA MSCA Cofund Postdoctoral programme

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2022-COFUND-01

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Coordinator

UNIVERSITETET I OSLO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 5 158 080,00
Address
PROBLEMVEIEN 5-7
0313 Oslo
Norway

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Region
Norge Oslo og Viken Oslo
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Partners (17)

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