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
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Coordinator
0313 Oslo
Norway
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Partners (17)
3511 Hoenefoss
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0191 Oslo
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0450 Oslo
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1478 Lorenskog
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7034 Trondheim
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0314 Oslo
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5817 Bergen
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2007 KJELLER
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4035 Stavanger
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0277 Oslo
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1395 Hvalstad
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
0216 Oslo
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3605 KONGSBERG
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1363 Hovik
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2800 Kongens Lyngby
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2316 Hamar
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1331 Fornebu
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