5 x Postdoctoral Positions for Statistical Foundations for Detecting Anomalous Structure in Streams
Lancaster University, University of Bristol, University of Warwick and London School of Economics
Application
Details
Posted: 13-Jan-25
Location: Lancaster, United Kingdom
Type: Full Time
Salary: £34,866 to £50,656*
Categories:
Applied Statistics
Data analysis/processing
Temporal/spatial statistics
Salary Details:
*Salary range varies dependent on salary scales and ranges of individual institutions.
Required Education:
Doctorate
Additional Information:
5 openings available.
Hybrid/Remote is allowed.
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).
Five, two-year posts are currently advertised. Posts at Lancaster (2), Bristol and Warwick are advertised here, whilst a further post at LSE is advertised here; candidates are strongly encouraged to apply to all advertised positions.
The closing date for applications for all posts is Monday 27th January, 2025.
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 methods or theory 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 trade-offs; scalable statistical methods. You will also have shown a demonstrable ability to produce academic writing of the highest publishable quality and/or statistical computing skills.
About Lancaster University, University of Bristol, University of Warwick and London School of Economics
The DASS programme brings together researchers from four of the UK's leading universities in statistics: Lancaster University, the London School of Economics and Political Science, the University of Bristol and the University of Warwick. This £4M initiative, funded by the Engineering and Physical Sciences Research Council (EPSRC), the four participating institutions, and several dedicated project partners, will run for five years (2024-2029). The strategic vision for this programme grant is to establish the statistical foundations for Detecting Anomalous Structure in Streaming data settings (DASS).