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Machine learning for Sciences and Humanities

Project description

DEENESFRITPL

Human researchers trained in machine learning

Researchers in Slovenia will receive training in machine learning applications. The Marie Skłodowska-Curie Actions are supporting the launch of the SMASH project, which comprises a training and research programme (co-funded by the Slovenian Ministry of Science, Education and Sport). The programme is designed to enhance the career prospects of outstanding postdocs from around the world while strengthening Europe's human capital in the field of research and innovation. SMASH will use innovative data science to delve into some of the world’s most challenging issues. 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.

Objective

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.

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Call for proposal

HORIZON-MSCA-2021-COFUND-01

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Funding Scheme

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

Coordinator

UNIVERZA V NOVI GORICI
Net EU contribution
€ 4 776 000,00
Address
VIPAVSKA CESTA 13 ROZNA DOLINA
5000 Nova Gorica
Slovenia

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Region
Slovenija Zahodna Slovenija Goriška
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Partners (31)

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Last update: 10 March 2023

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

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