Lecturer in Security and Crime Science

About us

University College London is a world-leading university, currently rated 9th in the QS ratings and is the Times Good University Guide University of the Year 2024. The UCL Department of Security and Crime Science undertakes internationally recognised research and is dedicated to equipping current and future professionals working in the crime and security field with the skills to meet the challenges of the 21st century.

Our research is concentrated on finding ways to reduce crime, drawing upon a variety of disciplines across the social, physical and life sciences. Our teaching programmes focus on developing sophisticated analytical techniques and evidence-based strategies to understand, detect and counter crime and security vulnerabilities. We are committed to bringing disciplines together and having real world impact.

About the role

We are recruiting for a Lecturer in Security and Crime Science with a specialism in statistics, data science and generative AI. This is an exciting opportunity for you to join a growing academic team. You will be teaching both on the undergraduate and postgraduate programmes beginning at the start of the first academic term (Sept 2024).

The successful candidate will be undertaking academic research and teaching and convening a minimum of two modules from our range of methods courses. These include Quantitative Methods courses (at MSc level) and Probability, Statistics and Modelling courses (at Undergraduate level). This is an FTE 1 36.5 hours.

About you

The successful candidate will have previous experience of teaching quantitative methods, probability, modelling and statistics at university level and additionally experience of teaching in programming languages such as R and Python. They will have a PhD (or near completion) in a relevant discipline and a track record of high quality research publication and activities. We are particularly interested in an individual who can bring a research specialism in Generative AI and the application of Large Language Models to free field text data; but we encourage applications from all suitably qualified candidates, who can contribute to the crime science agenda as outlined above. In line with our interdisciplinary ethos, applicants with the required statistical and programming experience to teach on our programmes may come from any relevant social, physical or life science discipline (e.g., computer science, criminology, data science, economics, engineering, forensic science, geography, ma thematics, political science, psychology, and sociology).

Please see the job description and person specification for full details. Your application: Your application must include a CV and a Cover Letter: In the Cover Letter please evidence, using examples how you meet the essential and desirable criteria in the Person specification part of the job Description in 2500 words or less. You should refer to relevant skills, experience, and achievements you have gained.

Please upload your cover letter attachment section of the application form. By including a Cover Letter, you can leave blank the ‘Why you have applied for this role’ field in the online application form, which has a restricted number of characters.

What we offer

This vacancy is a Grade 8 full-time academic contract for a Lecturer in Security and Crime Science. As well as the exciting opportunities this role presents, we also offer great benefits. Please visit  https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. 

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