Senior Research Associate (Statistics) – EUED Programme
Mathematics & Statistics
Salary: £34,804 to £40,322
Closing Date: Tuesday 14 September 2021
Interview Date: Friday 24 September 2021
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” programme, together with a number of major UK industrial partners.
This project is an exciting cross-disciplinary collaboration between
researchers within the departments of Mathematic & Statistics, Computer
Science and Environment Sciences at Lancaster University. The programme's goal
is to create new tools for helping organisations respond to climate change and
net zero challenges. Through building an understanding of these patterns the
project aims to identify and recommend energy saving strategies for industrial
users. The project is led by Idris Eckley (Mathematics & Statistics), and
Adrian Friday (Computing), together with Alex Gibberd (Mathematics &
Statistics) and Ally Gormally (Lancaster Environment Centre).
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 5th overall in the 2014
Research Excellence Framework and 3rd 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 achieved its own
Athena SWAN Bronze award in 2017 and is a registered supporter of the London
Mathematical Society's Good Practice Scheme.
This position will focus on the development of new time series and changepoint
methods for, and applied to, multi-dimensional industrial energy and
contextual data to identify potential for replicable savings in energy. You
should have a PhD in Statistics or a related discipline. You will be
experienced in one of more of the following areas: anomaly detection,
changepoint analysis, non-stationary 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.
Interested candidates are strongly encouraged to contact Professor Idris
Eckley (firstname.lastname@example.org) and/or Professor Adrian Friday
(email@example.com) 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 is for 36 months.
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.
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