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

Nominate & Attend

Lecturer in Healthcare Artificial Intelligence & Cybersecurity

UCL Eastman Dental Institute
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Degree Apprentice - Level 6 via Nottingham

Lecturer in Data Science in Haematology

Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction

Lecturer in Knowledge, Information and Data Science

Lecturer in Data Science and Analytics

Lecturer in Mathematics (Data Science)

About the role

Institute of Health Informatics is looking to appoint an Lecturer in Healthcare Artificial Intelligence & Cybersecurity to join our welcoming and vibrant Institute.

This position presents a unique opportunity to join a team of experienced health data scientists, informaticians, statisticians and clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources. The Lecturer will lead their own research, in line with the existing portfolio of the IHI and will demonstrate an active engagement with the interface between research and education by delivering teaching and supervising students; and will be expected to support the development of early career researchers.

A full range of duties can be found on the attached job description.

For any queries regarding the recruitment process please contact Anita Gorasia at 

About you

If you believe you meet the requirements why not come and be part of this unique and exciting opportunity and be part of something whereyoufeel included, valued and proud.

The Lecturer must have a PhD in a relevant area as well an appropriate track-record of high quality research outputs in the field of Artificial Intelligence / Machine Learning, and clear and ambitious plans for future research in relevant areas. The role holder will have a proven ability and commitment to carry out high quality original research, and ability to write, understand, and edit code in at least one language ( Python, C, Java, etc.) and familiarity with scientific libraries and popular APIs

Please review the job description before applying, paying particular attention to the essential / desirable criteria, and ensure your experience in these areas is addressed in your application. 

What we offer

We will consider applicates to work on a part-time, flexible and job share wherever possible.

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:, 41 Days holiday (pro rata for part time staff) (27 days annual leave 8 bank holiday and 6 closure days), cycle to work scheme, season ticket loan, on-site gym and employee assistance programme

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.