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- Tasks: Teach and supervise students in Statistics while developing your own research interests.
- Company: Join the University of St Andrews, a leader in education and diversity.
- Benefits: Enjoy 34 days annual leave, hybrid working, and various staff discounts.
- Why this job: Be part of a supportive team and contribute to impactful teaching and research.
- Qualifications: PhD in Statistics or related field required; expertise in Machine Learning is a plus.
- Other info: Applications from diverse backgrounds are encouraged to promote inclusivity.
The predicted salary is between 32208 - 37825 £ per year.
We are recruiting to the position of Associate Lecturer in Statistics within the School of Mathematics and Statistics. This is a fixed term position (to 30 June 2027) that has arisen following a secondment of one of our statisticians.
We are looking for an outstanding teacher of Statistics to join us in delivering our highly rated programmes of teaching. We welcome applications from candidates who hold, or will shortly hold, a PhD in Statistics or a closely-related discipline. We are particularly interested in candidates with expertise in cutting-edge statistical aspects of Machine Learning and its applications, though all areas of Statistics will be considered. The successful candidate will join a supportive team within the Division of Statistics, contributing to the delivery of its taught modules at all levels, and supervising final-year undergraduate and MSc projects. They will also have opportunities to develop their own research and/or scholarship interests, and support for professional development activities.
Employees of the University have access to a wide range of staff benefits including:
- Annual leave of 34 days, plus 5 public holidays
- Financial contribution to relocation
- Membership of the USS Pension Scheme with generous employer contributions
- A hybrid working environment, including partial homeworking where appropriate and a range of family friendly policies
- Staff discount scheme for local and national goods and services
- Free staff parking, employee Carshare and Cycle to Work Schemes and subsidised local bus travel
- Subsidised sports membership, reduced tuition fees on degree programmes for staff, access to training and development opportunities including LinkedIn Learning, access to library facilities, salary sacrifice scheme
- A range of wellbeing initiatives including membership of Peppy , a health application that connects staff to expert practitioners and personalized support on health matters
Further information and informal enquiries may be directed to the Head of School, Professor Antonia Wilmot-Smith ( mathshos@st-andrews.ac.uk ) and/or the co-Head of Statistics, Dr Chris Sutherland ( css6@st-andrews.ac.uk ).
Applications are particularly welcome from women, people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented in academic posts at the University.
Equality, diversity and inclusion are at the heart of the St Andrews experience and form a central pillar of the University Strategy. We strive to create a fair and inclusive culture demonstrated through our commitment to diversity awards (Athena Swan, Carer Positive, Race Charters). We celebrate diversity by promoting profiles of BAME, LGBTIQ+ Disabled and Neurodiverse staff and supporting networks including the Staff BAME Network; Staff with Disabilities or Neurodiversity Network; Staff LGBTIQ+ Network; and the Staff Parents & Carers Network. Full details available online: https://www.st-andrews.ac.uk/hr/edi/
Interview Date: 4 September 2025 Closing Date: 15 August 2025
Please quote ref: AOAC1988XXLS
Further Particulars: AOAC1988XXLSFPs.pdf
School of Mathematics and Statistics
Salary: £38,249 – £45,413 per annum (pro rata if applying part time)
Start Date: As soon as possible
Fixed Term until 31 July 2027
Part Time hours are available for this post #J-18808-Ljbffr
Associate Lecturer (Education Focused) in Statistics - AOAC1988XX employer: University of St Andrews
Contact Detail:
University of St Andrews Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Lecturer (Education Focused) in Statistics - AOAC1988XX
✨Tip Number 1
Network with current and former staff in the School of Mathematics and Statistics. Engaging with them can provide insights into the department's culture and expectations, which can be invaluable during your interview.
✨Tip Number 2
Familiarise yourself with the latest developments in Machine Learning and its applications in statistics. Being able to discuss recent advancements or case studies during your interview will demonstrate your expertise and enthusiasm for the subject.
✨Tip Number 3
Prepare to showcase your teaching philosophy and methods. Think about how you would engage students in statistics and be ready to share examples of your teaching experiences or innovative approaches you've used in the past.
✨Tip Number 4
Reach out to the Head of School or co-Head of Statistics for an informal chat before applying. This can help you understand their expectations better and show your genuine interest in the position, making you a more memorable candidate.
We think you need these skills to ace Associate Lecturer (Education Focused) in Statistics - AOAC1988XX
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your teaching experience and expertise in Statistics, particularly any work related to Machine Learning. Emphasise relevant qualifications, including your PhD, and any specific modules or projects you've taught.
Craft a Strong Cover Letter: In your cover letter, express your passion for teaching and how your background aligns with the role. Mention your commitment to diversity and inclusion, as this is important to the university. Be specific about how you can contribute to their programmes.
Highlight Research Interests: If you have research interests, especially in cutting-edge statistical methods or applications, make sure to include them. Discuss how these interests could enhance the teaching environment and benefit students.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for clarity, grammar, and spelling errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at University of St Andrews
✨Showcase Your Teaching Experience
As an Associate Lecturer, your teaching skills are paramount. Be prepared to discuss your previous teaching experiences, methodologies, and how you engage students in learning statistics. Highlight any innovative approaches you've used, especially in relation to Machine Learning.
✨Demonstrate Your Statistical Expertise
Make sure to articulate your knowledge in statistics clearly. Discuss specific areas of expertise, particularly in cutting-edge statistical methods or applications in Machine Learning. Be ready to answer technical questions that may arise during the interview.
✨Emphasise Your Research Interests
The role allows for research development, so share your research interests and how they align with the department's goals. Discuss any past projects or publications, and express your enthusiasm for contributing to the academic community.
✨Engage with Diversity and Inclusion
Given the university's commitment to equality and diversity, be prepared to discuss how you can contribute to creating an inclusive learning environment. Share any experiences you have in promoting diversity in education or working with underrepresented groups.