Website Multiple Universities (Lancaster, Bristol, Warwick)
Job Summary Table of Senior Statistical Research Positions
Attribute | Details |
---|---|
Job Title | Senior Research Associates in Detecting Anomalous Structure in Streaming Data Settings (DASS) |
Visa Sponsorship | Info not available |
Company Name | Multiple Universities (Lancaster, Bristol, Warwick) |
Country | United Kingdom |
Location | Multiple Locations (Lancaster, Bristol, Warwick) – On-site |
Salary Range | £34,866 to £47,874 (varies by institution) |
Job Type | Full-time |
Department | School of Mathematical Sciences/Statistics |
Experience Level | Senior |
Education Requirements | PhD in Statistics or closely related discipline |
Skills and Expertise | Statistical Methods, Anomaly Detection, Time Series Analysis, High-dimensional Statistics |
Posting Date | December 2024 |
Job Expires | January 27, 2025 |
Source | Lancaster University Careers |
Apply Link | Apply Here |
Job Description Summary
Exceptional opportunity for Senior Research Associates to join a groundbreaking £4M EPSRC-funded Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme across prestigious UK universities.
Responsibilities
- Develop innovative statistical methods for identifying anomalous structures in data streams
- Conduct high-level research in statistical theory and methodology
- Collaborate with research groups across partner universities
- Produce academic publications of the highest quality
- Participate in regular research meetings and presentations
- Contribute to the development of scalable statistical methods
Benefits and Perks
- Competitive salary package based on experience and qualifications
- Access to world-class research facilities
- Collaboration opportunities with leading academics
- Professional development and training opportunities
- University pension scheme
- Flexible working arrangements considered
Company Overview
This prestigious research programme brings together four leading UK universities: Lancaster University, University of Bristol, University of Warwick, and London School of Economics. The programme is backed by £4M in EPSRC funding and includes partnerships with industrial and public sector organizations.
Company Culture
The research environment promotes collaboration, innovation, and academic excellence. The programme emphasizes an integrated approach to tackle methodological, theoretical, and computational aspects of statistical problems collectively.
Career Growth Opportunities
- Opportunity to work with leading researchers in statistics
- Development of cutting-edge statistical methods
- Network building across academic and industrial partners
- Publication opportunities in high-impact journals
- Potential for long-term academic career advancement
Diversity, Equity, Inclusion, and Belonging
The programme strongly supports diversity in academia and welcomes applications from all sections of the community, regardless of age, religion, gender identity, race, disability, or sexual orientation.
Equal Opportunity Statement
All participating universities are committed to promoting diversity and equality of opportunity, welcoming applicants from all backgrounds and supporting flexible working arrangements.
Remote Work Policy
These positions are primarily on-site at respective university locations, though flexible working arrangements may be considered upon discussion.
Application Process
- Submit CV and cover letter through the online application system
- Specify preferred locations/positions in your cover letter
- Initial screening by selection committee
- Interviews scheduled for February 10-11, 2025
Application Deadline
January 27, 2025
How to Apply
Interested candidates should submit their applications through the online portal at Lancaster University’s career website. For specific queries, contact the programme leaders: – Prof. Idris Eckley (i.eckley@lancaster.ac.uk) – Dr. Haeran Cho (haeran.cho@bristol.ac.uk) – Prof. Paul Fearnhead (p.fearnhead@lancaster.ac.uk) – Dr. Yi Yu (yi.yu.2@warwick.ac.uk)
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