Summary
DocTalent4EU aims to enhance PhD employability through a strong, visible and innovative recognition-system of the most in-demand transferable skills (relying on the ESCO framework) that early-career researchers (ECRs) acquire or will acquire through their doctoral training and research activities. The consortium will adopt a multi-actor approach involving non-academic stakeholders (e.g. public authorities, industries or business) to improve transferable skills training and to develop local talent management centers. The project will also develop a new prototype based on machine learning to support ESCO in continuously updating and predicting the most in-demand skills on the labour market concerning the 8 EQF level, according to the expected skills from job offer collections.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/101095292 |
Start date: | 01-01-2023 |
End date: | 31-12-2024 |
Total budget - Public funding: | 1 584 587,50 Euro - 1 584 585,00 Euro |
Cordis data
Original description
DocTalent4EU aims to enhance PhD employability through a strong, visible and innovative recognition-system of the most in-demand transferable skills (relying on the ESCO framework) that early-career researchers (ECRs) acquire or will acquire through their doctoral training and research activities. The consortium will adopt a multi-actor approach involving non-academic stakeholders (e.g. public authorities, industries or business) to improve transferable skills training and to develop local talent management centers. The project will also develop a new prototype based on machine learning to support ESCO in continuously updating and predicting the most in-demand skills on the labour market concerning the 8 EQF level, according to the expected skills from job offer collections.Status
SIGNEDCall topic
HORIZON-WIDERA-2022-ERA-01-50Update Date
09-02-2023
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