Research Fellow 0.5FTE

UCL Eastman Dental Institute
London
1 year ago
Applications closed

Related Jobs

View all jobs

Research Fellow in Machine Learning for Hydroclimatology

Research Fellow in Machine Learning for Hydroclimatology

Research Fellow (Computer Vision)

Research Fellow in Applied Machine Learning

Reader in Artificial Intelligence

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security)

About the role

We are looking for an early career researcher or PhD student at their final stages to work with the AIED community of interest of the EU TransEET project (see The UCL Knowledge Lab is a world-renowned research institute located in the IOE, UCL’s Faculty for Education & Society. The Lab leads cutting-edge, interdisciplinary research investigating the ways technologies reshape how we connect, interact, collaborate and create Lab hosts over 60 researchers representing a variety of disciplines from arts and humanities, social science and education, to computer science, human computer Interaction, artificial intelligence and infomatics.

Your role will involve working within the TransEET communities of interest and specifically in Artificial Intelligence in Education with a specific focus on STEM education in secondary. 

The appointment is ; until 31/12/25 and is available immediately.

About you

You will have a PhD (or near completion) in AI or HCI (preferably applied in Education or broadly human-centered AI), Educational Technology or related disciplines and knowledge of techniques and methods for designing and learning environments and co-designing with children as well as other stakeholders.

The ability to collect data in real-world (non laboratory) settings are desirable.

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

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.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.