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

Nominate & Attend

Lecturer in Knowledge, Information and Data Science

UCL Eastman Dental Institute
London
1 week ago
Create job alert

About the role

To carry out teaching with a focus on the teaching areas listed below and academic related administration within the department.


To carry out research on one or more of the research areas listed below.
A job description including a person specification can be accessed at the bottom of this page.
If you have any queries about the role, please contact Luke at .
If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact Terrie/Lucy at .
The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please visit

To apply for the role, click the 'apply now' button at the bottom or top of the page.


It is essential that the following documents are uploaded in your application. Please upload them separately in the required document fields.

CV


Statement in support of your application. This can be uploaded as a Word or PDF document under 'other attachment'. The free text box under 'questionnaire' can be left blank if your supporting statement is already uploaded under 'other attachment'. There is no recommended character limit for the supporting statement.

Supporting statement guidance: please copy and paste the person specification criteria outlined on the job description into your supporting statement and describe underneath each criterion how you meet it, giving examples. You will be scored on how you meet each criterion.


If you feel other documents will support your application, please upload these too, however it is not mandatory.

About you

We are seeking applications for a Lecturer for a full-time ( FTE) post beginning in October , as described below.



We are looking for an innovative researcher and an experienced lecturer with research expertise and international track record in one or more of the following research areas: artificial intelligence, knowledge representation, machine learning, language technologies, and data science, and the ability teach on the topics listed above.



The majority of the teaching will initially be at undergraduate level on the BSc Information Management for Business at the Bloomsbury campus or UCL East. The successful candidate will also be expected to supervise research students and Masters and undergraduate dissertations, and undertake academic-related administrative duties.

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)


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
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

Related Jobs

View all jobs

Lecturer in Data Science and Analytics

Data Scientist Degree Apprentice - Level 6 via Nottingham

Lecturer in Mathematics (Data Science)

Lecturer in Data Science in Haematology

Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction

Machine Learning Engineer Trainer

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.