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Career Accelerator for Research Infrastructure Scientists 2nd generation

Project description

Tailored training of research infrastructure experts for the life sciences

Europe has significantly invested in research infrastructures. However, there is a need for qualified experts for these services to fully exploit their potential. With the support of the Marie Skłodowska-Curie Actions programme, EMBL's ARISE2 project will train 50 postdoctoral fellows as research infrastructure scientists, who are essential for developing and managing services in the life sciences. Building on the success of the MCSA-supported ARISE programme, ARISE2 focuses on creating innovative technologies for faster and more precise analyses. Given the increasing data generated by life sciences RIs, the project will emphasise on data science, AI and FAIR data management. Together with implementing partner RIcapacity, a strong focus will also be on developing professional skills for careers in research infrastructures.

Objective

The ARISE2 program will train 50 postdoctoral fellows for roles as research infrastructure (RI) scientistshighly skilled and much-needed scientific experts responsible for developing, providing, and managing scientific services in the life sciences. Europe has made significant investments in RI development, necessitating dedicated programs that will produce qualified experts to drive these advancements.

Building upon the success of the MCSA-supported ARISE program, ARISE2 continues its mission to train researchers for RI roles. Selected fellows will develop novel technologies and methods that enable faster, more precise analyses across multiple life sciences fields, accelerating our understanding of life from molecules to ecosystems. As life sciences RIs are generating large volumes of data, we are introducing data science and AI as a new focus in ARISE2. Fellows will be challenged to simplify, and ideally automate, FAIR data management for the benefit of users, ultimately leading to greater FAIRification and improved data integration for European researchers.

They will be supported by their supervisors and advisors from EMBL and 17 ARISE2-associated partners (9 non-academic), who engage in collaborative projects, hosting inter-sectoral and inter-disciplinary secondments or participating as trainers, thereby increasing competencies, infrastructure, supervision and exchange. The implementing partner will lead ARISE2 training and the development of further partnerships.

In addition to training through research, fellows will benefit from a unique training portfolio to acquire RI professional competencies, including data science and AI, scientific and transferable skills and opportunities to foster professional networks. ARISE2 will generate open and micro-credential-ready training materials, facilitating the expansion of similar RI training programme across Europe and standardising this new career path in research.

Keywords

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Programme(s)

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Topic(s)

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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-Cofund-P - HORIZON TMA MSCA Cofund Postdoctoral programme

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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-2023-COFUND-01

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Coordinator

EUROPEAN MOLECULAR BIOLOGY LABORATORY
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.

€ 7 164 000,00
Address
Meyerhofstrasse 1
69117 Heidelberg
Germany

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Region
Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis
Activity type
Research Organisations
Links
Total cost

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Partners (17)

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