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Academic Fellow in Data Science and Artificial Intelligence
2 months ago
Faculty of Medicine and Health
This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Are you an outstanding and highly motivated academic with evidence of high impact research in developing or applying data science and/or artificial intelligence (AI) methods?
Do you aspire to be an academic leader in multidisciplinary, collaborative research that incorporates data science and AI methods?
The Leeds Institute for Data Analytics (LIDA), an international data science and artificial intelligence Institute at the University of Leeds, is seeking a highly motivated and skilled future academic leader to join our team.
Whilst continuing your academic responsibilities in your substantive role, you will undertake a 2-year academic data science and AI fellowship.
Your work in the role may vary depending on experience and interests, but we anticipate outputs that help advance and set the agenda for internationally-excellent research in data science and AI at the university and within LIDA's research challenge areas.
The LIDA Academic Fellowship therefore offers an exciting opportunity to progress your skills and evidence the outputs necessary for your future role as an academic leader.
This role will be based in LIDA, with scope for it to be undertaken in a hybrid manner.
What we offer in return
- 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom - That's 42 days a year
- Generous pension scheme plus life assurance - the University contributes 14.
- Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
