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- Tasks: Teach and assess undergraduate and postgraduate statistics courses at UCL.
- Company: UCL's Department of Statistical Science is the world's oldest and a leader in statistical education.
- Benefits: Enjoy 41 days holiday, a pension scheme, on-site gym, and more perks!
- Why this job: Join a prestigious department with a strong commitment to equality and diversity.
- Qualifications: PhD in statistics or related field; teaching qualification preferred.
- Other info: This is a fixed-term role available from September 2025.
The predicted salary is between 46600 - 54000 £ per year.
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Ref Number B04-06274 Professional Expertise Teaching, Teaching Support and Examination Support Department UCL BEAMS (B04) Location London Working Pattern Full time Salary £54,172-£63,752 Contract Type Fixed-term Working Type Hybrid Available for Secondment No Closing Date 29-Jul-2025
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.
Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
- download: 2025 Lecturer (Teaching) JD.pdf
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Lecturer (Teaching) in Statistics employer: UCL AI Centre
Contact Detail:
UCL AI Centre 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 teaching philosophy and the specific courses offered in the Department of Statistical Science. Understanding their approach will help you tailor your discussions during interviews and demonstrate your alignment with their educational values.
✨Tip Number 2
Network with current or former staff members from the department. Engaging in conversations about their experiences can provide valuable insights into the role and the department's culture, which you can leverage in your application process.
✨Tip Number 3
Prepare to discuss your teaching methodologies and how you plan to engage students in statistical concepts. Highlighting innovative teaching strategies can set you apart from other candidates and show your commitment to student success.
✨Tip Number 4
Stay updated on recent developments in statistical science and related fields. Being knowledgeable about current trends and research can help you impress during interviews and showcase your passion for the subject.
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 and any relevant qualifications, such as your PhD or equivalent in statistics. Emphasise your experience with statistical programming and any higher education teaching qualifications you possess.
Craft a Strong Cover Letter: In your cover letter, express your passion for teaching and how your background aligns with the role at UCL. Mention specific courses you are interested in teaching and how you can contribute to the department's goals.
Highlight Relevant Experience: Detail any previous teaching roles or experiences that demonstrate your ability to engage students and deliver course content effectively. Include examples of modules you've taught or developed, and any innovative teaching methods you've employed.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in an academic setting.
How to prepare for a job interview at UCL AI Centre
✨Showcase Your Teaching Philosophy
Be prepared to discuss your teaching philosophy and how it aligns with the department's goals. Highlight any innovative teaching methods you've used and how they have positively impacted student learning.
✨Demonstrate Statistical Expertise
Since the role focuses on statistics, ensure you can discuss your research and practical experience in statistical programming. Be ready to provide examples of how you've applied statistical concepts in real-world scenarios.
✨Engage with Current Trends
Familiarise yourself with current trends and advancements in statistical science. Being able to discuss recent developments or challenges in the field will show your passion and commitment to staying updated.
✨Prepare for Practical Assessments
Given that the role involves delivering lectures and practicals, be ready to demonstrate your ability to teach a concept or solve a problem on the spot. Practising a mini-lecture or a statistical problem-solving session can help you feel more confident.
