Overview
This unique position is part of a strategic collaboration between University College London (UCL) and the University of Cambridge under the AI Hub in Generative Models. The successful candidate will benefit from the world class facilities and expertise at both institutions, working under the joint supervision of Professor Jose Miguel Hernandez Lobato and Professor David Barber. The position is hosted by the University of Cambridge and may require academic visits to the UCL Centre for Artificial Intelligence to support a co supervision model. This post is funded until 31st October 2028 in the first instance.
Responsibilities
- Work on deep learning, probabilistic modelling, transformer based models, diffusion models, flow matching or consistency models, and develop stable training and inference methods.
- Publish research papers and co supervise PhD and master students.
- Investigate few step generative models, including diffusion, consistency, flow based and related probabilistic methods, to develop computationally efficient and theoretically grounded approaches that maintain high quality generation performance while reducing sampling cost.
- Conduct probabilistic modelling research and perform large scale computational experiments using standard machine learning frameworks and publicly available scientific datasets.
- Proactively engage and collaborate with other Hub members and partner institutions, and participate in central Hub activities, cross theme initiatives and events.
Qualifications
- Near completion of a PhD in computer science, information engineering, statistics or a related area, with extensive research experience and a strong publication record.
- Excellent mathematical and programming skills.
- Experience in at least two of the following: Bayesian methods, deep learning, diffusion models, flow matching or transformer based models.
Compensation and Benefits
- Grade 7 (backdated to final PhD submission) or initial Grade 6B salary 39,148-41,833 per annum.
- 41 days holiday (27 days annual leave, 8 bank holidays, 6 closure days).
- Additional 5 days annual leave purchase scheme.
- Defined benefit career average revalued earnings pension scheme (CARE).
- Cycle to work scheme and season ticket loan.
- On site nursery.
- On site gym.
- Enhanced maternity, paternity and adoption pay.
- Employee assistance programme: Staff Support Service.
- Discounted medical insurance.
If you have any queries regarding the vacancy or the application process, please contact the AI Hub in Generative Models at genai@ucl.ac.uk.
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