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- Tasks: Teach and research in data science, contributing to innovative MSc programmes.
- Company: Join the University of Bristol, crowned 'AI University of the Year' 2024.
- Benefits: Competitive salary, vibrant research environment, and opportunities for career development.
- Why this job: Make a real impact in data science while collaborating with top academics.
- Qualifications: Experience in teaching data science and a strong research track record.
- Other info: Fractional appointments considered for exceptional candidates; dynamic and supportive faculty culture.
The predicted salary is between 43482 - 58225 ÂŁ per year.
The University of Bristol is seeking to appoint a Lecturer, Senior Lecturer, or Associate Professor in Data Science. You will join an existing group of 20+ academic colleagues engaged in data science research and in teaching on our family of four data science MSc degrees, alongside another 100 academic colleagues within our School of Engineering Maths and Technology. The University was crowned “AI University of the Year” at the 2024 National AI Awards, and is home to the new £220M National AI supercomputer Isambard.AI.
You will contribute to our teaching in data science and should complement our interdisciplinary research culture in one of the four broad domains: data science for psychiatry and mental health-care; data-intensive computational neuroscience; data-intensive bioinformatics; and/or data science for economics/finance. You will join a vibrant and intensive research environment within the University, which was ranked fifth for research in the 2021 UK Research Excellence Framework. Fractional appointments (e.g. 50% of full-time) will be considered for exceptional candidates.
What will you be doing?
You will be expected to produce high-quality research outputs individually, and/or with postgraduate students, and/or with academic colleagues in Bristol and/or at other universities in the UK and beyond. You should have a demonstrable potential to secure research funding, including through engagement with industry and other external partners. You will be expected to contribute to the effective running of the School by undertaking academic administration and leadership roles as specified by your line manager, and to take an active role in providing high quality and innovative teaching and assessment by contributing to one or more of our degree programmes in MSc Data Science, MSc Financial Technology with Data Science, MSc Economics with Data Science, and/or MSc Business with Data Science. You should also be an engaged personal tutor and/or project-supervisor to our taught students.
You should apply if
You should be comfortable working in teams. You should have experience of teaching a range of topics in data science, or demonstrate a clear commitment to doing so. You’ll have a strong research track‑record in data‑intensive research: either in core data science R&D, or in the application of data science tools and techniques to one or more challenging research areas. Experience of developing and applying data science in commercial contexts (industry/business) is particularly welcome. You will be expected to provide input to the overall strategic vision and ambition for the School. You should be willing to develop and/or demonstrate leadership skills, allowing you to effectively work collaboratively with groups of internal and external partners; and be able to act as a role model to our students and to other staff.
Additional information
For informal queries, please contact: Felipe Campelo, Associate Professor in Data Science Email: f.campelo@bristol.ac.uk
To find out more about what it’s like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog.
Salary: Grade J or K in the range ÂŁ43482- ÂŁ58225 or on Grade L in the School/Unit: School of Engineering Mathematics and Technology. This advert will close at 23:59 UK time on 25/01/2026.
Our strategy and mission: We recently launched our strategy to 2030 tying together our mission, vision and values.
Lecturer/Senior Lecturer Data Science in Bristol employer: The University of Bristol
Contact Detail:
The University of Bristol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer/Senior Lecturer Data Science in Bristol
✨Tip Number 1
Network like a pro! Reach out to current or former staff at the University of Bristol, especially those in the Data Science department. A friendly chat can give you insider info and maybe even a recommendation!
✨Tip Number 2
Show off your research chops! Prepare a short presentation or portfolio showcasing your best work in data science. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Be ready to discuss your teaching style! Think about how you can engage students in data science topics and be prepared to share examples of innovative teaching methods you've used in the past.
✨Tip Number 4
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 vibrant academic community.
We think you need these skills to ace Lecturer/Senior Lecturer Data Science in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your experience aligns with the specific requirements of the Lecturer/Senior Lecturer role. We want to see how you fit into our vibrant research culture and teaching environment.
Showcase Your Research: Don’t hold back on sharing your research achievements! We’re keen to see your track record in data-intensive research and any potential for securing funding. This is your chance to shine, so let us know what you’ve accomplished!
Highlight Teaching Experience: If you’ve got teaching experience, make it front and centre! We’re looking for someone who can contribute to our MSc programmes, so share any relevant courses or topics you’ve taught that would resonate with our students.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy to navigate, so don’t hesitate!
How to prepare for a job interview at The University of Bristol
✨Know Your Research
Make sure you can discuss your research interests and how they align with the University of Bristol's focus areas. Be prepared to explain how your work contributes to data science, especially in fields like computational neuroscience or mental health.
✨Showcase Your Teaching Experience
Prepare examples of your teaching methods and how you've engaged students in data science topics. Highlight any innovative approaches you've used in your classes, as well as your experience with assessment and feedback.
✨Engage with the Community
Demonstrate your willingness to collaborate with colleagues and industry partners. Share any past experiences where you've worked in teams or led projects, and be ready to discuss how you can contribute to the School's strategic vision.
✨Prepare Questions
Have thoughtful questions ready for your interviewers about their research culture, teaching methodologies, and future plans for the department. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
