Contract type:
Open ended Work hours:
35.0 hours per week Weeks per year:
52.00 The role We invite applications for a Senior Post-Doctoral Research Associate position to join the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme. The DASS Programme will consider the foundational statistical challenges of identifying anomalous structure in streams within constrained environments, handling the realities of contemporary data streams, and identifying and tracking dependence across streams. 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. The 2-year positions are available at each of the partner universities. What will you be doing? Contributing to the research project, primarily aimed at developing methods and tools for the statistical analysis of data streams and performing data analyses to illustrate the effectiveness of these techniques. Publishing in leading statistical journals with other members of the project. Attending and contributing to project meetings. Participating in meetings, workshops, and conferences in the UK and abroad, presenting research results and networking. Developing code that implements the methods developed to support reproducible research practice. Supporting the Investigators as appropriate in developing the broader collaborative relationship with external partners. You should apply if 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 tradeoffs; scalable statistical methods. You will also have shown a demonstrable ability to produce academic writing of the highest publishable quality. The application process for the four positions is being administered by Lancaster University. Please ensure you state clearly in your cover letter which position, in particular at which universities, you wish to be considered for when applying. These are full-time positions, though we will consider applicants requesting part-time or other flexible working arrangements. We welcome applications from people in all diversity groups. Additional information Contract type:
Open ended with fixed funding for two years This advert will close at 23:59 UK time on 10/02/2025 For informational queries, please contact: Haeran Cho:
haeran.cho@bristol.ac.uk Idris Eckley:
i.eckley@lancaster.ac.uk Important:
Applications will only be considered if submitted via the University of Lancaster Jobs Board. Please follow this link to apply:
hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=1435-24 Our strategy and mission We recently launched our
strategy
to 2030 tying together our mission, vision, and values. The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds, and perspectives – particularly people of colour, LGBT+, and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution. Salary:
£42,632 to £47,874 per annum
#J-18808-Ljbffr
Open ended Work hours:
35.0 hours per week Weeks per year:
52.00 The role We invite applications for a Senior Post-Doctoral Research Associate position to join the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme. The DASS Programme will consider the foundational statistical challenges of identifying anomalous structure in streams within constrained environments, handling the realities of contemporary data streams, and identifying and tracking dependence across streams. 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. The 2-year positions are available at each of the partner universities. What will you be doing? Contributing to the research project, primarily aimed at developing methods and tools for the statistical analysis of data streams and performing data analyses to illustrate the effectiveness of these techniques. Publishing in leading statistical journals with other members of the project. Attending and contributing to project meetings. Participating in meetings, workshops, and conferences in the UK and abroad, presenting research results and networking. Developing code that implements the methods developed to support reproducible research practice. Supporting the Investigators as appropriate in developing the broader collaborative relationship with external partners. You should apply if 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 tradeoffs; scalable statistical methods. You will also have shown a demonstrable ability to produce academic writing of the highest publishable quality. The application process for the four positions is being administered by Lancaster University. Please ensure you state clearly in your cover letter which position, in particular at which universities, you wish to be considered for when applying. These are full-time positions, though we will consider applicants requesting part-time or other flexible working arrangements. We welcome applications from people in all diversity groups. Additional information Contract type:
Open ended with fixed funding for two years This advert will close at 23:59 UK time on 10/02/2025 For informational queries, please contact: Haeran Cho:
haeran.cho@bristol.ac.uk Idris Eckley:
i.eckley@lancaster.ac.uk Important:
Applications will only be considered if submitted via the University of Lancaster Jobs Board. Please follow this link to apply:
hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=1435-24 Our strategy and mission We recently launched our
strategy
to 2030 tying together our mission, vision, and values. The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds, and perspectives – particularly people of colour, LGBT+, and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution. Salary:
£42,632 to £47,874 per annum
#J-18808-Ljbffr
