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Machine learning for Sciences and Humanities

Description du projet

DEENESFRITPL

Des chercheurs humains formés à l’apprentissage automatique

Des chercheurs slovènes vont suivre une formation aux applications de l’apprentissage automatique. Le programme Actions Marie Skłodowska-Curie soutient le lancement du projet SMASH, qui comprend un programme de formation et de recherche (cofinancé par le ministère slovène des sciences, de l’éducation et des sports). Le programme est conçu pour améliorer les perspectives de carrière de postdoctorants de talent du monde entier tout en renforçant le capital humain de l’Europe dans le domaine de la recherche et de l’innovation. SMASH fera appel à une science des données innovante pour étudier certaines des questions les plus complexes au monde. Il s’agit notamment de prédictions liées aux impacts du changement climatique, au développement de la médecine personnalisée, à la recherche de réponses à des questions fondamentales sur notre Univers et à la compréhension des fondements du langage et de la façon dont nous communiquons.

Objectif

SMASH is a brand-new training and research programme to be co-funded by the Slovenian Ministry of Science, Education & Sport. The Beneficiary, the University of Nova Gorica, is a research-focused university, situated at the Italian border, that boasts a 51:49 female:male ratio among its 200+ staff. The programme is designed to enhance the career prospects of outstanding post-docs from around the world, while strengthening Europe's human capital in R&I.
Fifty talented individuals will be hired by five of Slovenia’s leading institutions, allowing them to expand their own research ideas based on access to the data-science potential of the Vega HPC supercomputer, the first such facility of the EU’s €-multi-billion HPC initiative. With a diverse group of Associated Partners, including top SMEs from Slovenia and the EU as well as world-leading institutions like UC Berkeley, SMASH will form a close-knit community with a single unifying concept: the use of cutting-edge data science to answer some of the world’s most challenging questions. These include predictions related to the impacts of climate change, the development of personalised medicine, finding answers to fundamental questions about our Universe and digging deep into the fundamentals of language and how we communicate.
SMASH will guarantee a recruitment process based on openness, transparency, impartiality and equality, and will ensure neutrality by giving all selection power to external experts, setting an example for the region. Top-level training in applications of machine learning, that is one of today’s most transferable skills, will be complemented by rich soft-skill training opportunities, developed in collaboration with some of the world’s best experts, including CERN's Learning Hub. The impact of the programme will be felt for decades, both in the local research landscape and across Europe as the researchers take their skills to pursue their careers on the strength of their successes in SMASH.

Mots‑clés

Programme(s)

Thème(s)

Appel à propositions

HORIZON-MSCA-2021-COFUND-01

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Régime de financement

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

Coordinateur

UNIVERZA V NOVI GORICI
Contribution nette de l'UE
€ 4 776 000,00
Adresse
VIPAVSKA CESTA 13 ROZNA DOLINA
5000 Nova Gorica
Slovénie

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Région
Slovenija Zahodna Slovenija Goriška
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
Aucune donnée

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Dernière mise à jour: 10 Mars 2023

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Permalink: https://cordis.europa.eu/project/id/101081355/fr

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