Senior Research Associate - Anomaly Detection & Time Series

RFCSR

Lancaster

On-site

GBP 40,000 - 46,000

Full time

14 days+

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Lancaster University invites applications for a Senior Research Associate in the DASS Programme, a major EPSRC-funded initiative uniting Lancaster, Bristol, Warwick and LSE with industry partners. The role encompasses methodological, theoretical and computational research across institutions to deliver advances in statistical science for anomaly detection in streaming data.

This is a full-time postdoctoral position of two years, with flexibility for part-time arrangements; a PhD in Statistics or

Qualifications

Candidates should hold, or be close to completing, a PhD in Statistics or a closely related discipline.
Proven ability to develop new statistical theory and methods in areas such as anomaly detection, changepoint analysis, non-stationary time series, high-dimensional statistics, or scalable statistical methodologies.
Ability to produce high-quality academic writing and collaborate across disciplines.

Responsibilities

Contribute to methodological, theoretical, and computational research across institutions.
Develop scalable statistical methods for detecting anomalous structures in streaming data.
Collaborate with researchers from partner universities and industry to deliver high-impact results.