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Exascale, Quantum Computing and Machine Learning for Innovation in Sciences

Objective

The joint doctoral program “Exascale, Quantum Computing and Machine Learning for Innovation in Sciences (ELEVATE)” aims to train twelve doctoral candidates (DCs) to become computational science professionals capable of using, developing and deploying high-performance computing (HPC), quantum computing (QC) and machine learning (ML) methodologies for cutting-edge research in scientific and engineering applications, and to assume future leadership roles in academia and industry. This goal is enabled by the participation of leading experts in HPC, QC, ML and domain scientists in Particle Physics, fluid dynamics and turbulence, and structural biology across eight European countries. They will deliver an interdisciplinary network-wide training program and supervise innovative research projects leading to joint degrees between two degree-awarding institutions (DAIs).
A strong intersectoral dimension is embedded in the program: all DCs will complete secondments in industry and/or at supercomputing centers, gaining hands-on experience with emerging architectures, data methodologies and their industrial applications. The program brings together twelve DAIs, three national supercomputing centers in Cyprus, Italy and Germany (including NVIDIA Labs), CERN, and five companies, exposing candidates to diverse research environments and working cultures.
This combination of formal training, practical experience and intersectoral mobility is designed to produce graduates with excellent career prospects in both academia and industry, shaping them into professionals well positioned to drive disruptive innovations in their fields.
ELEVATE responds to major European investments in supercomputing and quantum computing and addresses the need for new algorithms, software and expertise. By training a new generation of highly skilled researchers, it provides essential human capital to sustain Europe’s leadership in digital technologies for scientific discovery and innovation.

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN-JD - HORIZON TMA MSCA Doctoral Networks - Joint Doctorates

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2025-DN-01

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Coordinator

UNIVERSITY OF CYPRUS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 437 351,40
Address
AVENUE PANEPISTIMIOU 2109 AGLANTZI
1678 Nicosia
Cyprus

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Region
Κύπρος Κύπρος Κύπρος
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (11)

Partners (10)

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