Applications are invited for a Researcher position available to work on The Centre in Advanced Fluid Engineering for Digital Manufacturing (CAFE4DM) Prosperity Partnership based in the Dept of Chemical Engineering and Analytical Sciences. This post is available for a 1 year fixed term.
The post is funded through the Engineering and Physical Sciences Research Council (EPSRC) and is part of a large collaborative project involving the University of Manchester and Unilever and aims to develop an understanding of non-Newtonian fluids used in formulated home and personal care products. By combining theoretical and experimental methods, the project will obtain an understanding of the relationship between the process history of the materials and their structure-property relationships.
The primary role is to develop and apply new artificial intelligence-based methodologies in process data analytics using real factory or pilot plant data in order to better understand and control the processing of personal care products such as shampoos and hair conditioners. Recent work has focused on soft-sensor development with multi-way PLS, artificial neural networks, gaussian processes amongst others. Additionally, we aim to explore hybrid models, combining the data-driven models with the physical models developed in a separate part of the project towards faster development and better control of manufacturing processes. The researcher will join a team involved in process data analytics which is made up of academics, PDRAs and PhD students and a wider Industry 4.0 group within the School of Engineering. This will be alongside support from industrial colleagues.
The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit: http://www.ceas.manchester.ac.uk/about-us/athena-swan/
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Philip Martin and or Dr Dongda Zhang
Email: email@example.com and or firstname.lastname@example.org
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.