AI/Machine Learning Developer (KTP Associate)

University of Strathclyde / Perceptive Engineering Limited 
Location: Split between Daresbury (Cheshire) and Glasgow
Salary: £29,000-£33,000
Closing Date: 30th November 2020

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.

Supported by the academic team at the University of Strathclyde and the Software and Engineering teams at Perceptive Engineering, the KTP Associate will deliver a suite of Machine Learning/AI tools and associated workflows for the PerceptiveAPC software suite.

These tools will deliver deeper process understanding to the user, simplifying the identification and implementation of models for use in condition monitoring, preventative maintenance and control applications.

These deliverables will require a deep understanding of Machine Learning/Data Science techniques and knowledge of the data features and challenges present when pre-processing and modelling pharmaceutical manufacturing data.

For more information and to apply please click here