Research Software Engineer Opportunity (Lancaster University): Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme

We invite applications to join the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme.

This £4M programme is funded by EPSRC and brings 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.

DASS will consider the foundational statistical challenges of identifying anomalous structure in data streams within constrained environments, handling the contemporary data realities, and identifying and tracking dependence across streams.

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).

At this time, we are seeking to fill one Research Software Engineer position at Lancaster University, details of which are available here: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0406-25

You should have a PhD in Statistics or a closely related discipline. You will have extensive knowledge of R and Python, including package development and experience of the academic research software development cycle, including deployment, maintenance and user support. You should also have a demonstrable ability to publish, including the ability to produce high quality academic writing, which is essential for this post.

The closing date for applications for all posts is Monday 30th June, 2025.

Candidates who are considering making an application are strongly encouraged to contact Idris Eckley ([email protected]) and/or Paul Fearnhead ([email protected]), to discuss the programme in greater detail.

Vacancy reference 0406-25