At a Glance
- Tasks: Join a dynamic team to develop innovative statistical methods and tackle real-world problems.
- Company: Lancaster University, a leader in research and collaboration.
- Benefits: Competitive salary, flexible working options, and a supportive work environment.
- Other info: Inclusive workplace that values diversity and promotes career growth.
- Why this job: Make a significant impact in statistics while collaborating with top researchers.
- Qualifications: PhD in Statistics or related field, with strong research and writing skills.
The predicted salary is between 39906 - 46049 £ per year.
Location: Bailrigg, Lancaster, UK
Salary: £39,906 to £46,049 (Full-Time/Indefinite with End Date)
Closing Date: Wednesday 10 June 2026
Interview Date: Friday 26 June 2026
Reference: 0264-26
This £4M programme is funded by EPSRC and brings together research groups from the Universities of Lancaster, Bristol, Warwick and the London School of Economics together with a committed group of industrial and public sector partners.
Interaction between the research groups at the universities will be strongly encouraged and resourced; our philosophy is to tackle the methodological, theoretical and computational aspects of these statistical problems together. This integrated approach is essential to achieving the substantive fundamental advances in statistics envisaged, and to ensuring that our new methods are sufficiently robust and efficient to be widely adopted by academics, industry and society more generally.
This programme is led by Idris Eckley (Lancaster University), Haeran Cho (University of Bristol), Paul Fearnhead (Lancaster University), Qiwei Yao (London School of Economics) and Yi Yu (University of Warwick).
This 2-year position is available at Lancaster University. You should have, or be close to completing, a PhD in Statistics or a closely related discipline. Throughout, you should have demonstrated an ability to develop new statistical theory and methods in one of the relevant areas, including but not limited to:
- anomaly detection
- changepoint analysis
- non-stationary time series analysis
- high dimensional statistics
- statistical-computational tradeoffs
- scalable statistical methods
You will also have shown a demonstrable ability to produce academic writing of the highest publishable quality.
This is a full-time position, though we will consider applicants requesting part-time or other flexible working arrangements.
Please note: unless specified otherwise in the advert, all advertised roles are UK based.
The University recognises and celebrates good employment practice undertaken to address all inequality in higher education whilst promoting the importance and wellbeing for all our colleagues. We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.
Senior Research Associate - DASS employer: Lancaster University
Lancaster University is an exceptional employer, offering a collaborative and inclusive work culture that fosters innovation in statistical research. With a strong commitment to employee wellbeing and professional development, staff benefit from a range of support networks and flexible working arrangements, making it an ideal environment for those seeking meaningful contributions to academia and industry. Located in the vibrant city of Lancaster, employees enjoy access to a rich cultural scene and a supportive community, enhancing both personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Associate - DASS
✨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 Senior Research Associate gig.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your unique skills and experiences. Talk about your PhD work and how it relates to the role – they want to see what you can bring to the table!
✨Prepare for Interviews
Do your homework on the research groups involved in the programme. Be ready to discuss their work and how your expertise in statistical methods fits in. This shows you're genuinely interested and well-prepared!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Research Associate - DASS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Research Associate role. Highlight your PhD and any relevant experience in statistics, especially in areas like anomaly detection or changepoint analysis. We want to see how your skills align with our programme!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this position and how your research aligns with our goals. Be sure to mention any collaborative projects you've been involved in, as we value teamwork.
Showcase Your Research Impact:When detailing your academic writing, focus on the impact of your research. Mention any publications or presentations that demonstrate your ability to produce high-quality work. We’re looking for candidates who can contribute to substantial advances in statistics!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our fantastic workplace culture there.
How to prepare for a job interview at Lancaster University
✨Know Your Stats
Brush up on your statistical theories and methods relevant to the role. Be ready to discuss your experience with anomaly detection, changepoint analysis, and high-dimensional statistics. This shows you’re not just familiar with the concepts but can apply them practically.
✨Showcase Your Research
Prepare to talk about your past research projects in detail. Highlight any new statistical methods you've developed and be ready to explain their significance. This will demonstrate your ability to contribute to the programme's goals and your academic writing prowess.
✨Engage with the Team Approach
Since the role involves collaboration across various universities, express your enthusiasm for teamwork. Share examples of how you've successfully worked in interdisciplinary teams before, as this aligns with the programme's integrated approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the programme and its objectives. Inquire about the collaborative efforts between the universities and how your role would fit into that. This shows your genuine interest and helps you assess if it’s the right fit for you.
