Senior Research Fellow

UCL Eastman Dental Institute
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal/Senior Data Scientist

Principal/Senior Data Scientist

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior Data Scientist – National Security (TIRE) based in Cheltenham/Hybrid

About the role

You will conduct the analysis of large-scale neurological data within the EBRAINS project at UCL.

The overarching goal of EBRAINS is to foster a deeper understanding of brain structure and function with dedicated and mature software tools, to facilitate the development of more effective treatments, new drugs, diagnostics, and preventive measures for neuro-psychiatric disorders. The project will further the development and provision of the infrastructure’s research technologies to the scientific community. It aims to establish a new standard for brain atlases, gather and connect multimodal neuroscientific and clinical data, and push forward the development of digital twin approaches.

The post is available immediately and is funded by Innovate UK to 31 December in the first instance.

If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team ().

Informal enquiries regarding the role can be addressed to Professor Parashkev Nachev ().

A full job description and person specification for this role can be accessed below.

About you

You will hold a PhD in neuroimaging, and have extensive knowledge of, and experience in, multi-modal neuroimaging and deep learning, applied to clinical disorders. Experience of software development and IT project management is essential, as is advanced proficiency in higher language computer programming, advanced proficiency in Python and Matlab, and intimate familiarity with common machine learning libraries and data analyses packages. Knowledge of quality management systems and of high-performance computing systems is desirable.

This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

What we offer

The post is graded as UCL Grade 8 with salary in the range £52, to £53, per annum including London Allowance.

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

41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days), pro rata Additional 5 days’ annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan 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.

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.

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.

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.