LEAD AI · Bergen research and training program for future AI leaders across the disciplines
Horizon Europe — Marie Skłodowska-Curie Actions
- Duration
- 2024-01-01 → 2028-12-31
- EU contribution
- €2,865,600
- Participants
- 18
- Scheme
- HORIZON-TMA-MSCA-Cofund-P
Lines connect the coordinator with its partners.
Results in brief
Bergen research and training program for future AI leaders across the disciplines
Bergen research and training program for future AI leaders across the disciplines, LEAD AI Artificial intelligence (AI) and associated technologies such as machine learning hold great potential across a range of sectors, providing services ranging from improved automation to increasingly precise monitoring, detection, and manufacturing. The industry’s growing interest is driving novel applications and AI solutions. With the support of the Marie Skłodowska-Curie Actions programme, the LEAD AI project will develop and deliver a state-of-the-art interdisciplinary research and training programme for 19 experienced researchers (ERs) in collaboration with UiB, focusing on AI. The programme, taking advantage of UiB’s cross-disciplinary strengths in AI research, will provide the ERs with insights and disciplinary expertise into the use and potential of AI across several sectors, ranging from medicine and computer science to humanities, social science, law and psychology. LEAD AI promote institutional transformation and pioneering research on AI subjects, while providing exceptional AI research and training opportunities, personal supervision and mentoring for postdoctoral researchers, structured skill-based training, and high-quality working conditions. The program will equip the next generation of research and society leaders with AI knowledge and skills to collaborate across disciplines, sectors and borders, while offering academic freedom, equal opportunities, and a well-connected regional AI ecosystem. LEAD AI is the University of Bergen's (UiB) career and mobility fellowship program within artificial intelligence. The 19 postdoctoral research fellows will be employed at six of UiB's faculties. Their research range from basic AI research in computer science discipines, to applied research in the natural sciences and medicine, as well as issues such as the interaction between AI, people and society with legal and ethical challenges. The program is supported by 17 external partners, including six academic partners and eleven partners representing Norwegian public institutions, industry, and large networks. Mobility, both international and across disciplines and sectors, is an important element of the program. UiB collaborate with research institutions in other countries and with partners in relevant sectors in Western Norway.The 19 LEAD AI fellows come from all over the world, and are employed in postdoctoral positions for 3-4 years. The fellows are either incoming, moving to Norway, or outgoing, with a mandatory 12 month stay outside of Norway. The fellows are supported by a team of supervisors and mentors, and are encouraged to engage in a multitude of training activities, as well as career building activities such as teaching and supervision, and institutional and organizational activities. They are also supported to find externship opportunities in and outside of academia, as part of their training.
Data: CORDIS, © European Union
Project objective
LEAD AI at UiB will provide an exceptional inter- and multidisciplinary research and training programme for 19 experienced researchers (ERs) who are versed in or curious about AI. The recruitment process will be inclusive, transparent and merit-based, and aims to attract excellent researchers locally and internationally. The researchers will be employed in postdoctoral positions for 3-4 years for both incoming and outgoing mobility. In LEAD AI, UiB will exploit its unique cross-disciplinary strengths in AI research, providing ERs in fields as diverse as computer science, medicine, law, psychology, information science and the humanities with both disciplinary expertise and the broader knowledge of AI research that is needed to develop trustworthy and ethical AI that benefits society. The program will promote institutional transformation and pioneering research on AI subjects, while providing exceptional AI research and training opportunities, personal supervision and mentoring for postdoctoral researchers, structured skill-based training, and high-quality working conditions. The program will equip the next generation of research and society leaders with AI knowledge and skills to collaborate across disciplines, sectors and borders, while offering academic freedom, equal opportunities, and a well-connected regional AI ecosystem.
Original text from CORDIS.
Participants
- UNIVERSITETET I BERGEN · BergenCoordinatorNorway
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS · MadridSpain
- BKK AS · BergenNorway
- Bergen Chamber · BergenNorway
- DIGITAL INNOVATION HUB OCEANOPOLIS AS · GrimstadNorway
- Finance Innovation · BergenNorway
- GCE OCEAN TECHNOLOGY SA · ygardenNorway
- KOBENHAVNS UNIVERSITET · KOBENHAVNDenmark
- MEDIA CITY BERGEN AS · BergenNorway
- NORCE RESEARCH AS · BERGENNorway
- OCEAN INNOVATION CATAPULT CENTRE AS · BergenNorway
- Proptech Innovation · BergenNorway
- THE SEAFOOD INNOVATION CLUSTER AS · BergenNorway
- UNIVERSITETET I OSLO · OsloNorway
- UNIVERSITY OF BRITISH COLUMBIA · VANCOUVERCanada
- UNIVERSITY OF OTTAWA · OttawaCanada
- VALIDE AS · StavangerNorway
- VESTLANDETS INNOVASJONSSELSKAP AS · BERGENNorway
Links
- View on CORDIS
- DOI: 10.3030/101126560
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e507e77e83&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e51415a061&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5167a0dd7&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e520e20123&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e522dd8798&appId=PPGMS
Data: CORDIS, © European Union
