Salary Range:
£33,309 - £36,382
FTE: 1
Term: Fixed (36 months)
Closing Date: 21/09/2021
Become part of this exciting multi-disciplinary three-year EPSRC funded
project to improve industrial operations.
The successful applicant will join the department of Management Science
in the University of Strathclyde and work in a team with academics at the Universities
of Edinburgh and Napier as well as industrial partners Babcock, Simul8 and
Ubisense. Through this collaborative
project, we will develop methods to identify opportunities for improvements in
efficiency, productivity and sustainability.
The rapid advance of digital sensing technologies is making the
real time recording of activities in a manufacturing environment both
practical and affordable. However, the availability of diverse, real time data
about movement and activity does not automatically help engineers manage the
complex, dynamic environments typical of modern industrial operations. To do
this they need tools that support their interpretation of constantly changing
data in ways that enhance
productivity and sustainability.
Motivated by this need, this project
will investigate if the forms of
probabilistic networks that have been employed to generate computational models
from location tracking data in other contexts (e.g. vehicles movements in
traffic models and the daily routines of individuals in domestic environments)
can be extended to work with multiple forms of industrial activity data
recorded on a factory floor. Such a model would allow diverse signals of
manufacturing activity (e.g. material transport, staff movement, vibration,
electrical current and air quality etc.) to be used to infer the behaviour of
an industrial workplace and generate quantitative measures that support decisions,
which affect sites’ production and sustainability performance.
As a Research Associate, under
the general guidance of a research leader, you will play a lead role in
relation to this project contributing to the development of new methods for
analysis. You will write up research work for publication, individually or in
collaboration with colleagues, and disseminate the results via peer reviewed
journal publications and presentation at conferences. You will join external
networks to share information and ideas, collaborate with colleagues to ensure
that research advances, participating in initiatives, which establish research
links with industry. You will supervise
student projects and provide advice to students.
To be considered for the role,
you will be educated to a minimum of PhD level in an appropriate discipline, or
have significant relevant experience in addition to a relevant degree. You will
have sufficient breadth or depth of knowledge in data analytic methods and a developing
ability to conduct individual research work and to disseminate results. You
will have an ability to plan and organise your own workload effectively and an
ability to work within a team environment. You will have excellent
interpersonal and communication skills, with the ability to listen, engage and
persuade, and to present complex information in an accessible way to a range of
audiences.
Please note this is a fixed term post with an expected duration of 36
months.
Formal interviews for this post are expected to be held on Friday, 1 October
2021.
Informal enquiries about the post can be directed to Professor John Quigley, j.quigley@strath.ac.uk
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