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- Tasks: Lead innovative research projects in mathematics and AI to tackle real-world challenges.
- Company: Join Lancaster University, a top-ranked institution in mathematics and AI research.
- Benefits: Competitive salary, flexible working arrangements, and a supportive research environment.
- Why this job: Make a real impact in fields like cyber security, engineering, and health.
- Qualifications: PhD in mathematics or related field with experience in machine learning and AI.
- Other info: Collaborate with leading academics and contribute to industry projects.
The predicted salary is between 39906 - 48882 ÂŁ per year.
Senior Research Associate – MARS: Mathematics for AI in Real‑world Systems (MARS) – School of Mathematical Sciences, Lancaster University.
Location: Bailrigg, Lancaster, UK
Salary: ÂŁ39,906 to ÂŁ48,882 (Full time, indefinite with end date)
Closing Date: Sunday 04 January 2026
Interview Dates: Monday 09 February 2026 (and Tuesday 10 February 2026)
We are seeking Senior Research Associates to lead their own research project as part of MARS, funded by a £13 million investment from Research England. MARS focuses on dynamical mathematical modelling and artificial intelligence, addressing real‑world challenges across cyber security, engineering, environment and health.
What We’re Looking For
- PhD in mathematics or a related discipline with demonstrable experience using mathematical machine learning, AI methods or applied mathematics to solve challenging problems.
- Ability to propose an innovative, deliverable three‑year research project containing substantial mathematical content, aligned with MARS objectives.
- Willingness to contribute up to 0.2 FTE to industry projects relevant to expertise.
Why Join MARS?
MARS is based in one of the country’s top‑ranked mathematics departments, offering a thriving, collegial research group with academic staff, researchers and PhD students. It is a national leader in mathematics and AI research, and an ideal environment for mathematicians tackling real‑world problems. These are full‑time, three‑year positions. Flexible working arrangements may be considered, but candidates must be present on the Lancaster campus at least two days a week.
How to Apply
Submit a job application via the “Apply Online” button and upload the following mandatory attachments in PDF format:
- Proposal for a three‑year research project (see guidance)
- Cover letter
- Full academic CV
To discuss the MARS programme in greater detail, contact Professor Andrew Baggaley (a.baggaley1@lancaster.ac.uk), Professor Chris Jewell (c.jewell@lancaster.ac.uk) or Professor Chris Nemeth (c.nemeth@lancaster.ac.uk). Applicants must submit all attachments to be considered.
EEO Statement
Lancaster University promotes equality of opportunity and diversity within the workplace. We welcome applications from all diversity groups, particularly women underrepresented in the mathematical sciences.
Senior Research Associate - MARS - 0937-25 employer: Lancaster University
Contact Detail:
Lancaster University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Associate - MARS - 0937-25
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lancaster University, especially those in the MARS programme. A friendly chat can give us insider info and might just put your name on the radar.
✨Tip Number 2
Prepare for the interview by diving deep into MARS's projects. Familiarise yourself with their focus areas like AI and dynamical mathematical modelling. This shows us you're genuinely interested and ready to contribute.
✨Tip Number 3
Practice your pitch! Be ready to discuss your proposed research project clearly and confidently. We want to see your passion and how your ideas align with MARS's objectives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, make sure all your documents are polished and tailored to the role – first impressions count!
We think you need these skills to ace Senior Research Associate - MARS - 0937-25
Some tips for your application 🫡
Craft a Compelling Research Proposal: Your research proposal is your chance to shine! Make sure it’s innovative and aligns with MARS objectives. We want to see your creativity and how you plan to tackle real-world challenges using mathematics.
Personalise Your Cover Letter: Don’t just send a generic cover letter. Tailor it to highlight your experience in mathematical machine learning and AI methods. Show us why you’re the perfect fit for the Senior Research Associate role at MARS!
Showcase Your Academic CV: Your CV should reflect not just your academic achievements but also your relevant experience. Include any projects or publications that demonstrate your expertise in applied mathematics and AI. We love seeing what you’ve accomplished!
Apply Through Our Website: Make sure to hit that 'Apply Online' button on our website! It’s the easiest way to submit your application and ensures we receive all your documents in the right format. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Lancaster University
✨Know Your Research Proposal Inside Out
Make sure you can discuss your three-year research project proposal in detail. Be prepared to explain how it aligns with MARS objectives and the innovative aspects of your approach. This shows your commitment and understanding of the role.
✨Brush Up on Relevant Mathematical Concepts
Since the position requires expertise in mathematical machine learning and AI methods, review key concepts and recent advancements in these areas. Being able to discuss how these methods apply to real-world challenges will impress the interviewers.
✨Show Enthusiasm for Collaboration
MARS values teamwork, so express your willingness to contribute to industry projects and collaborate with colleagues. Share examples from your past experiences where you successfully worked in a team setting to solve complex problems.
✨Prepare Questions for the Interviewers
Have a few thoughtful questions ready to ask the interviewers about the MARS programme and its future directions. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.
