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- Tasks: Teach and assess undergraduate and postgraduate statistics courses, engaging with students in lectures and practicals.
- Company: Join UCL's pioneering Department of Statistical Science, the world's oldest university statistics department.
- Benefits: Enjoy 41 days holiday, a pension scheme, on-site gym, nursery, and more perks!
- Why this job: Be part of a world-leading department with a strong commitment to equality and diversity.
- Qualifications: PhD in statistics or related field; teaching qualification or recognition is essential.
- Other info: This role is available for three years starting September 2025.
The predicted salary is between 36000 - 60000 £ per year.
About us
The Department of Statistical Science at UCL is the longest established university statistics department in the world and has played a pioneering role in the development of the subject since its foundation in 1911. It is one of nine departments in the UCL Faculty of Mathematical and Physical Sciences and has close links with many other departments, both within the Faculty and outside of it. We teach statistical science at all levels (undergraduate single/combined honours, service courses, MSc and PhD) and carry out research across a wide range of theoretical and applied areas. In the last Research Excellence Framework exercise (2021/22), over 97% of our output was classified as world-leading or internationally excellent in terms of originality, significance and rigour. We consistently score highly in the National Student Survey in the Postgraduate Taught Experience Survey.
About the role
You will mainly contribute to the Department\’s teaching through our various undergraduate and postgraduate programmes. You may be responsible for a full module or be asked to contribute to lectures or practicals as part of other modules. A typical load would involve the organisation, delivery and assessment of up to two courses per year, each involving around 30-40 hours of contact time and with some large class sizes; plus occasional contributions to other courses as appropriate. The exact courses assigned will depend on background and experience.
This post is available for three years in the first instance from September 2025.
About you
A PhD or equivalent qualification, or evidence of an equivalent level of attainment in research publications, in statistics or a closely related field and have, or be working towards, a recognised higher education teaching qualification or professional recognition (e.g. Fellowship of the Higher Education Academy or equivalent) are essential. Experience of statistical programming is desirable.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:
• 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
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
The department holds a Bronze Athena SWAN award in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. We strongly support UCL\’s Equalities and Diversity Strategy, and encourage applications to our vacancies from under-represented groups. #J-18808-Ljbffr
Lecturer (Teaching) in Statistics employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer (Teaching) in Statistics
✨Tip Number 1
Familiarise yourself with UCL's Department of Statistical Science and its teaching methods. Understanding their approach to statistical education will help you tailor your discussions during interviews, showcasing how your teaching philosophy aligns with theirs.
✨Tip Number 2
Engage with current faculty members or alumni through networking platforms like LinkedIn. This can provide insights into the department's culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Stay updated on recent developments in statistical science and educational techniques. Being able to discuss contemporary issues or innovations in your field during interviews will demonstrate your passion and commitment to teaching.
✨Tip Number 4
Prepare to discuss your experience with statistical programming, as it's a desirable skill for this role. Be ready to share specific examples of how you've used programming in your teaching or research, highlighting your practical expertise.
We think you need these skills to ace Lecturer (Teaching) in Statistics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your teaching experience, particularly in statistics or related fields. Include any relevant qualifications, such as your PhD and teaching certifications, to demonstrate your suitability for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for teaching and research in statistics. Mention specific courses you have taught or developed, and how your experience aligns with the department's goals and values.
Highlight Relevant Experience: Detail any experience you have with statistical programming and how it can enhance your teaching. If you've contributed to large classes or developed course materials, be sure to include these examples.
Showcase Your Research: If applicable, summarise your research publications and their relevance to the field of statistics. This will help demonstrate your expertise and commitment to advancing the subject, which is important for a lecturer role.
How to prepare for a job interview at UCL
✨Showcase Your Teaching Experience
Be prepared to discuss your teaching philosophy and any previous experience you have in delivering lectures or practicals. Highlight specific examples of how you've engaged students and adapted your teaching methods to different learning styles.
✨Demonstrate Your Statistical Knowledge
Since the role focuses on statistics, ensure you can articulate your expertise in the subject. Be ready to discuss recent developments in statistical science and how they can be applied in teaching and research.
✨Familiarise Yourself with UCL's Values
Research UCL's commitment to equality, diversity, and inclusion. Be prepared to discuss how you can contribute to these values within the department and support under-represented groups in your teaching.
✨Prepare for Practical Assessments
Given the nature of the role, you may be asked to conduct a mock lecture or practical session during the interview. Prepare a short presentation that showcases your ability to explain complex concepts clearly and engagingly.
