At a Glance
- Tasks: Join a £4M research programme tackling advanced statistical problems with top universities.
- Company: Lancaster University, known for its collaborative and inclusive research environment.
- Benefits: Competitive salary, flexible working options, and a supportive workplace culture.
- Other info: Diverse and inclusive workplace committed to equality and employee wellbeing.
- Why this job: Make a real impact in statistics while collaborating with leading experts in the field.
- 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 in England 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 in England
✨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 the Interview
Do your homework on the research groups involved and the specific projects they're working on. Being able to discuss their work shows you're genuinely interested and ready to contribute to their goals.
✨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 in England
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 match what we're looking for!
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 background aligns with our programme's goals. We love seeing enthusiasm and a clear connection to the work we do.
Showcase Your Research Skills:Since this role involves developing new statistical methods, be sure to include examples of your research work. Whether it's published papers or projects, we want to see your ability to produce high-quality academic writing and innovative ideas.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our team there. We can’t wait to hear from you!
How to prepare for a job interview at Lancaster University
✨Know Your Stats
Brush up on your statistical theories and methods, especially those related to anomaly detection and changepoint analysis. Be ready to discuss your previous research and how it aligns with the programme's goals.
✨Showcase Your Writing Skills
Prepare to present examples of your academic writing. Highlight any publications or papers you've authored, as this will demonstrate your ability to produce high-quality work that meets the expectations of the role.
✨Engage with the Team Approach
Familiarise yourself with the collaborative nature of the programme. Be prepared to discuss how you can contribute to teamwork and interdisciplinary research, showcasing your ability to work well with others in a dynamic environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the programme and its objectives. This shows your genuine interest in the role and helps you understand how you can fit into their vision for advancing statistical methods.
