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- Tasks: Lead innovative research in Statistical Science and AI while teaching and mentoring students.
- Company: Join the University of Bristol, a top UK institution for Mathematics.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Why this job: Make a real impact in cutting-edge research and inspire the next generation of mathematicians.
- Qualifications: Strong potential for world-class research and high-quality teaching experience.
- Other info: Dynamic, supportive community with a focus on diversity and inclusion.
The predicted salary is between 43482 - 58225 £ per year.
Overview
The School of Mathematics is seeking to appoint a Lecturer (analogous to Assistant Professor) in Statistical Science and AI, to be interpreted as including Statistics, and mathematical, statistical and computational aspects of Machine Learning and Artificial Intelligence. We are looking for a world-class researcher in any of these areas. The School is one of the UK’s leading centres for mathematics (Bristol was ranked 4th for Mathematical Sciences in the national REF2021 assessment). Comprising over 150 academic, research and professional services staff, the School has moved to its new home in the historic Grade II-listed Fry Building in the heart of the University precinct. Following a £33 million three-year renovation project, the Fry Building provides state-of-the-art facilities for mathematics teaching and research. Research in the School is organised around five research institutes and this position is attached to the Institute of Statistical Science. The Institute is a thriving research centre with expertise ranging from the theoretical foundations of Statistics, Machine Learning and Artificial Intelligence to high-impact, cross-disciplinary science and partnerships with industry. Major initiatives led by members of the Institute include the UKRI-funded INFORMED-AI and Probabilistic AI (Prob-AI) hubs and our BSc programme in Data Science.
What will you be doing?
The post-holder will be responsible for developing their own internationally leading, independent research programme and supervising postdoctoral researchers and postgraduate students. The post-holder will take on teaching duties, both undergraduate and postgraduate, within the School of Mathematics, as required. This may include involvement in new postgraduate programmes currently under development, with further details to be shared as these are finalised. They will also take on appropriate administrative duties within the School of Mathematics and the University, as required.
You should apply if
Applicants should be able to demonstrate or evidence strong potential for excellence in world-class research and the ability to deliver high-quality teaching. For further information regarding the skills required for this role please see the person specification section of the attached job description. We especially welcome applications from candidates with prior research and/or teaching experience in modern AI systems.
Additional information
- Contract type: Open ended
- Work pattern: Full time/1FTE
- Grade: J or K depending on experience/Pathway 1
- Salary: £43,482-£50,253 (Grade J) or £50,253-£58,225 (Grade K) depending on experience
- School/Unit: School of Mathematics
- This advert will close at 23:59 UK time on 13/10/2025
- Interviews are anticipated to take place in October 2025
- For informal queries, please contact: Prof Nick Whiteley, Director of the Institute for Statistical Science
- E-mail: nick.whiteley@bristol.ac.uk
Our strategy and mission
We recently launched our strategy to 2030 tying together our mission, vision and values.
The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.
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Lecturer in Statistical Science and AI employer: University of Bristol Law School
Contact Detail:
University of Bristol Law School Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Statistical Science and AI
✨Network Like a Pro
Get out there and connect with folks in your field! Attend conferences, workshops, or even local meetups. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Research
Make sure to highlight your research achievements during interviews. Bring along any publications or projects that showcase your expertise in Statistical Science and AI. We want to see your passion and knowledge shine through!
✨Practice Makes Perfect
Before your interview, practice common questions and answers with a friend or in front of a mirror. This will help you feel more confident and articulate when discussing your teaching philosophy and research interests.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our amazing team at the School of Mathematics.
We think you need these skills to ace Lecturer in Statistical Science and AI
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your research achievements and potential in Statistical Science and AI. We want to see how you can contribute to our world-class research programme, so don’t hold back on showcasing your best work!
Tailor Your Teaching Experience: When detailing your teaching experience, focus on how it aligns with our needs. We’re looking for someone who can deliver high-quality teaching at both undergraduate and postgraduate levels, so share specific examples of your teaching methods and successes.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it helps us keep everything organised and efficient.
How to prepare for a job interview at University of Bristol Law School
✨Know Your Research Inside Out
Make sure you can discuss your research in Statistical Science and AI confidently. Be prepared to explain your methodologies, findings, and how they contribute to the field. This will show your passion and expertise, which is crucial for a role focused on leading research.
✨Prepare for Teaching Demonstrations
Since teaching is a key part of this role, think about how you would present complex topics in an engaging way. Prepare a mini-lecture or teaching demonstration that showcases your ability to communicate effectively with students at both undergraduate and postgraduate levels.
✨Familiarise Yourself with the School's Initiatives
Research the current projects and initiatives within the Institute of Statistical Science, like INFORMED-AI and Prob-AI. Being able to discuss these in your interview will demonstrate your interest in the school’s work and how you could contribute to ongoing projects.
✨Showcase Your Collaborative Spirit
Highlight any past experiences where you've worked collaboratively, especially in cross-disciplinary settings. The role involves partnerships with industry and other research areas, so showing that you can work well with others will be a big plus.
