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- Tasks: Lead research in statistical ecology and machine learning applications.
- Company: Join the prestigious University of St Andrews, renowned for its research excellence.
- Benefits: Enjoy 34 days annual leave, hybrid working, and a range of staff discounts.
- Why this job: Be part of a vibrant academic community focused on ecological impact and innovation.
- Qualifications: PhD in Statistics or related field with expertise in statistical ecology or machine learning.
- Other info: Diversity and inclusion are core values; early-career candidates may be considered for Reader level.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Professor in Statistics (Chair) role at University of St Andrews
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Join to apply for the Professor in Statistics (Chair) role at University of St Andrews
The University of St Andrews is seeking to enhance its research strength in Statistics by appointing a new Chair in Statistical Ecology, in advance of the retiral of a current Chair. We would welcome applications from candidates whose research includes statistical ecology or statistical methods applied in ecology or environmental sciences. With machine learning set to be central to the future of statistical ecology, we also welcome applications from candidates whose research is focused on machine learning / AI in statistical ecology.
Our primary strength in statistics has been in statistical ecology, centered on the world-leading Centre for Research into Ecological and Environmental Modelling (CREEM). Most CREEM staff are statisticians in the School of Mathematics and Statistics, but there are also strong links with the Schools of Biology and Computer Science.
The statistics group also has links with the School of Medicine, the School of Earth and Environmental Sciences, and the School of Geography and Sustainable Development. There are also opportunities for collaboration with Research Groups within pure and applied mathematics, including our Research Group in Mathematical Biology.
We have strong and growing Masters programmes in Statistics, with MSc programmes in Statistical Ecology, Statistics, Applied Statistics and Data Mining and Data-Intensive Analysis which is run jointly with the School of Computer Science. Mathematics run MScs in Mathematics and Mathematical Biology.
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
An appointment at Reader level will also be considered for an outstanding early-career candidate who could rapidly develop and grow their research portfolio and reputation in post, with the job description to be amended accordingly.
For informal enquiries, we encourage those considering applying to contact the Head of School, Dr Antonia Wilmot-Smith (mathshos@st-andrews.ac.uk), or the Co-Heads of Statistics, Professor Len Thomas (len.thomas@st-andrews.ac.uk) and Dr Chris Sutherland (css6@st-andrews.ac.uk).
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: 27 August 2025 Closing Date: 21 July 2025
Please quote ref: AC2503LS
Further Particulars: AC2503FPs.pdf
School of Mathematics and Statistics
Start Date: January 2026 or as soon as possible thereafter
Seniority level
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Seniority level
Director
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Employment type
Full-time
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Job function
Education, Writing/Editing, and Research
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Industries
Higher Education
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Professor in Statistics (Chair) employer: University of St Andrews
Contact Detail:
University of St Andrews Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Professor in Statistics (Chair)
✨Tip Number 1
Network with current faculty members at the University of St Andrews, especially those in the Centre for Research into Ecological and Environmental Modelling (CREEM). Engaging in conversations about their research can provide insights into the department's culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest advancements in statistical ecology and machine learning. Highlighting your knowledge of cutting-edge techniques during informal discussions or interviews can set you apart from other candidates.
✨Tip Number 3
Consider reaching out to Dr Antonia Wilmot-Smith or the Co-Heads of Statistics for an informal chat about the role. This not only shows your enthusiasm but also gives you a chance to ask specific questions that could help tailor your application.
✨Tip Number 4
Explore potential collaborative opportunities with other departments like Biology and Computer Science. Demonstrating an interdisciplinary approach in your research can be a significant advantage in your application.
We think you need these skills to ace Professor in Statistics (Chair)
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Professor in Statistics (Chair) position. Familiarise yourself with the specific research areas mentioned, such as statistical ecology and machine learning applications in ecology.
Tailor Your CV: Craft your CV to highlight relevant experience in statistical ecology, machine learning, and any interdisciplinary collaborations. Emphasise your contributions to research and teaching in these areas.
Write a Compelling Cover Letter: In your cover letter, express your passion for statistical ecology and how your research aligns with the University of St Andrews' goals. Mention any collaborative projects or initiatives that demonstrate your fit for the role.
Highlight Diversity Commitment: Reflect on how you can contribute to the university's commitment to equality, diversity, and inclusion. Share any experiences or initiatives you've been involved in that support these values.
How to prepare for a job interview at University of St Andrews
✨Showcase Your Research
Be prepared to discuss your research in detail, especially how it relates to statistical ecology and machine learning. Highlight any innovative methods you've developed or applied in your work.
✨Understand the University’s Strengths
Familiarise yourself with the University of St Andrews' strengths in statistics and its Centre for Research into Ecological and Environmental Modelling (CREEM). This will help you align your expertise with their goals.
✨Prepare for Collaborative Discussions
Since the role involves collaboration across various schools, think about how your work can integrate with biology, computer science, and other disciplines. Be ready to discuss potential interdisciplinary projects.
✨Emphasise Inclusivity and Diversity
The university values equality, diversity, and inclusion. Be prepared to share your thoughts on fostering an inclusive academic environment and how you can contribute to these initiatives.
