About the role

We are seeking world-class talent with an exceptional research track record to join our academic team at the rank of Lecturer or Associate Professor. The post-holder will play a key role in shaping the rapidly developing field of Machine Learning and Creative AI within Computational Media and Creative Practice, while benefiting from the broader academic environment, including UCL’s Centre for Artificial Intelligence.

Candidates should possess expertise in Machine Learning, with areas of interest that include but are not limited to: probabilistic modelling, statistical learning theory, reinforcement learning, generative models, causality, ethical machine learning, and deep learning. The successful candidate will demonstrate sustained excellence across all areas of academic life, with a focus on Machine Learning and Creative AI. This cross-disciplinary post will allow the appointee to explore experimental and creative approaches in the field, contributing to our innovative research agenda

Collaboration is central to this role, and the successful candidate will work closely with colleagues in the BA Media programme, the School of Creative & Cultural Industries (SCCI), and the wider UCL East campus. The post-holder will be responsible for developing cutting-edge teaching materials for the BA Media programme, focusing on Machine Learning, Creative AI, and Games, as well as contributing to cross-faculty modules. They will also bring their specialism to our Master’s and PhD programmes.

This position is open across Grade 8 and Grade 9, depending on the appointee’s experience, and represents an exciting opportunity for researchers eager to contribute to and expand UCL's efforts in next-generation AI and interdisciplinary research.

About you

You should hold a PhD in Computer Science, Creative Computing, or a closely related discipline by the time of your appointment, with a strong background in a relevant subject area that aligns with our focus on growing research and teaching in Machine Learning and Creative AI. The ability to demonstrate how your expertise will contribute to the ongoing development of this field within the context of our cross-disciplinary approach is essential.

The ideal candidate will possess evidence of experience in teaching and supervising academic work, including at undergraduate, master’s, and doctoral levels, although this is desirable rather than a strict requirement.

Your application form should address all the person specification points and should clearly demonstrate how your skills and experience meet each of the criteria.

It is important that the criteria are clearly numbered and that you provide a response to each one.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

41 Days holiday: 27 days annual leave 8 bank holiday and 6 closure days (pro rata for part time staff) Additional 5 days’ annual leave purchase scheme (pro rata for part time staff) Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance