Salary range:
£29,000-£33,000
FTE: 1.0
Term:
Fixed Term (24 months)
Closing date: 18/04/2021
The EPSRC Future Manufacturing Research Hub in Continuous
Manufacturing and Advanced Crystallisation (www.cmac.ac.uk) in partnership
with Perceptive Engineering Limited (www.perceptiveapc.com) are seeking to
appoint a Knowledge Transfer Partnership (KTP) Associate in the area of
Machine Learning/AI, with a focus on developing and commercialising software
products and functionality for use in process control and process condition
monitoring applications.
The post will be positioned within the Continuous Manufacturing and Advanced Crystallisation (CMAC)
Hub, located within the Technology & Innovation
Centre, Glasgow. CMAC is a
world-class centre of excellence for advanced pharmaceutical manufacturing
research and training. As an EPSRC Future Manufacturing Research Hub, led by
the University of Strathclyde we work in close collaboration with a number of
spokes at leading UK academic institutions (Bath, Cambridge, Imperial College,
Leeds, Loughborough, Sheffield) and linking with international centres in the
US, Europe and Far East.
Perceptive Engineering was formed in 2003 with a clear
mission: improve the efficiency of complex manufacturing processes, using
robust and powerful statistical tools, combined with leading-edge academic
thinking. Perceptive Engineering are a team of experienced engineers,
chemometricians and statisticians, entrusted by companies around the world to
meet the manufacturing challenges of the future. We do this using the
problem-solving skills we have honed over the years, and our award-winning
Advanced Process Control software platform.
The project is part of the Knowledge Transfer Partnership
(KTP) programme that aims to help businesses to improve their competitiveness
and productivity through the better use of knowledge, technology and skills
that reside within the UK knowledge base. Successful Knowledge Transfer Partnership
projects are funded by UK Research and Innovation through Innovate UK and are
part of the government’s Industrial Strategy. To find out how KTP works and
the vital role you will play if you successfully secure a KTP Associate
position please visit: www.ktpws.org.uk.
There are over 200 vacancies currently available at www.ktp-uk.org/graduates or search ‘KTP jobs’.
To be considered for the role you will be educated to a
minimum of a PhD in a relevant subject (Chemical Engineering, Electrical and
Electronic Engineering, Data Science, Computer Science, or related discipline)
with appropriate experience in applying machine learning techniques to manufacturing
or time series data. In addition to the KTP core development training, you
will have a dedicated training budget of £4,000 to further support your career
development. Location of this role is split between Perceptive Engineering in
Daresbury, Cheshire and CMAC in Glasgow, respectively and the successful
candidate will be required to work on site and will have to travel frequently
between sites.
Informal
enquiries about the post can be directed to Dr Blair Johnston, Reader (blair.johnston@strath.ac.uk).
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