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Senior Research Associate (Statistics) – Novel Statistical Methods for Energy/ IoT data Analytics

Mathematics & Statistics
Salary:   £34,804 to £40,322
Closing Date:   Wednesday 17 August 2022
Interview Date:   To be confirmed
Reference:  A3249-T

We invite applications for a Senior Research Associate position to work on the development of novel statistical methods within the recently awarded, £1.6M EPSRC “Reducing end use Energy Demand in Commercial Settings Through Digital Innovation” (http://net0i.org) project.  This is an interdisciplinary collaboration together with several major UK industrial companies, and a team of co-investigators from SCC and LEC.

This position will focus on the development of novel time series and changepoint methods for, and inspired by, applications encountered by the grant’s partners. You should have a PhD in Statistics or a related discipline. You will be experienced in one of more of the following areas: computational statistics, anomaly detection, changepoint analysis, time series analysis, high dimensional statistics, statistical-computational tradeoffs, signal processing or novel inference methods for streaming data. Demonstrable ability to produce academic writing of the highest publishable quality is essential. Experience of developing research-level software is desirable but not essential. 

Lancaster’s internationally recognised Statistics group is one of the largest and strongest Statistics groups in the UK with 25 academic staff, a vibrant community of Post-doctoral researchers and research students. The group sits within the Department of Mathematics and Statistics, one of the UK’s top departments in Mathematics and Statistics, ranked 7th overall in the 2021 Research Excellence Framework and 1st for the impact of its research. 

The department provides an environment which aims to meet the individual needs of each member of staff. We are committed to family-friendly and flexible working policies, and seek to promote a healthy work-life balance. The University is a charter member of Athena SWAN and has held a Bronze award since 2008, in recognition of good employment practice to address gender equality in higher education and research. The Department also holds its own Athena SWAN Bronze award and is a registered supporter of the London Mathematical Society’s Good Practice Scheme. 

Interested candidates are strongly encouraged to contact Professor Idris Eckley (i.eckley@lancaster.ac.uk) in advance of making an application. 

You will join us on an indefinite contract however, the role remains contingent on external funding which, at this time, runs until 31 December 2024. 

Please state in your cover letter your suitability to the role and how you will contribute to the programme. 

We welcome applications from people in all diversity groups.

This post is being readvertised and is open in the first instance for 4 weeks. However, we reserve the right to close it prior to this should suitable applications be received before the closing date. 

 

 


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Please note: Unless specified otherwise in the advert wording, all advertised roles are UK based.


The University provides an environment that strongly supports the individual needs of each employee, whilst promoting the importance of wellbeing for all our colleagues. We have a range of support networks available for our employees, and more information on these can be found on the ‘Working at Lancaster’ information page.

 

We are committed to family-friendly and flexible working policies on an individual basis. The University recognises and celebrates good employment practice undertaken to address all inequality in higher education.

 

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.


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