Summary
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.
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.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101126636 |
| Start date: | 01-01-2024 |
| End date: | 31-12-2028 |
| Total budget - Public funding: | - 5 158 080,00 Euro |
Cordis data
Original description
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.
Status
SIGNEDCall topic
HORIZON-MSCA-2022-COFUND-01-01Update Date
12-03-2024
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Organisations
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| UNIVERSITETET I OSLO (UNIVERSITY OSLO) (Coördinator)
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| AKERSHUS UNIVERSITETSSYKEHUS HF
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| AVINOR AS
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| Argeo Robotics AS
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| DNV GL AS (DNV GL)
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| EQUINOR ASA
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| HALDOR TOPSOE AS
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| HAVFORSKNINGSINSTITUTTET
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| INSTITUTT FOR ENERGITEKNIKK
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| K.A. Rasmussen AS
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| KONGSBERG MARITIME AS
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| NORSK REGNESENTRAL
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| OSLO UNIVERSITETSSYKEHUS HF
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| SINTEF AS (SINTEF)
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| STATENS KARTVERK