National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lecturer or Associate Professor in Machine Learning and Creative AI

UCL Eastman Dental Institute
London
8 months ago
Applications closed

Related Jobs

View all jobs

Lecturer in Health Data Science (Teaching and Scholarship)

Senior/Principal Machine Learning Scientist - Causality (London)

Lecturer in Data Science (Non-Tenured)

Lecturer in Computing (Data Analytics) (HE)

Computing Lecturer

Lecturer / Senior Lecturer in Artificial Intelligence and Applications

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
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.