This grant focuses on the interface between symplectic topology and algebraic geometry. Your role would be to work, both independently and collaboratively with the Principal Investigator (Jonny Evans), on research problems in these areas, publishing your results and presenting at conferences.

You should have completed a PhD in symplectic geometry, algebraic geometry, or a closely related discipline. You should have a good record of research, preferably available on the arXiv, and be able to demonstrate that you have a clear research agenda of your own which ties in with that of the grant.

The position is available from September 1^st 2026, and will run until the end of the grant on 31^st August 2027. Interviews will be carried out shortly after the closing date.

Interested candidates are advised to contact Dr Jonny Evans (j.d.evans@lancaster.ac.uk) if they have any queries about the position.

Closing Date: 30 Jun 2026

Department: Research

Salary: £39,906 (Full time, indefinite with end date)

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.

The 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 are full-time position, though we will consider applicants requesting part-time or other flexible working arrangements. 

Candidates who are considering making an application are strongly encouraged to contact Idris Eckley (i.eckley@lancaster.ac.uk) or Paul Fearnhead (p.fearnhead@lancaster.ac.uk) to discuss the programme in greater detail.  

Closing Date: 10 Jun 2026

Department: Research

Salary: £39,906 to £46,049 (Full-Time/Indefinite with End Date)