Salary range: £32,817 - £36,914 restricted due to funding
FTE: 1 (35 hours/week)
Term: Fixed term: (24 months)
Closing date: 16 February 2020
Applications are invited for a Research Associate with experience in multivariate data analysis to work on a project entitled ‘Data analytics for digital manufacturing and healthcare’. This new Post-Doctoral Researcher position is funded by the Community of Analytical Measurement Science (CAMS), which is an industry-led initiative dedicated to world class analytical measurement science training, research and innovation. The project is an excellent opportunity for researchers with skills in multivariate mathematics and is suitable for candidates from a range of disciplines including analytical science, engineering, chemistry, physics, mathematics, statistics and management science.
There are tremendous opportunities afforded by adoption of digital technologies in both the pharmaceutical industry and for healthcare. While the types of measurements might be very different, common to both digital manufacturing and healthcare is the need to understand and combine different types of data for in situ monitoring and diagnostic purposes, whether it be of a manufacturing process or a patient. Therefore, the aim of this project is to advance data analytics for real-time process and patient performance monitoring, based on point of use (i.e. in situ) measurements, in the pharmaceutical manufacturing and healthcare sectors, respectively. You will be required to develop software (inferential) sensors, estimate the uncertainty of measurements and utilise multivariate statistical process control methods for performance monitoring in the pharmaceutical manufacturing and healthcare sectors. You will interact with academics and industrialists in the Centre for Process Analytics and Control Technology (CPACT) and the Centre for Continuous Manufacturing and Advanced Crystallisation (CMAC), which are academia-industry consortia led by the University of Strathclyde, and industrial partners in CAMS.
Knowledge and experience of multivariate data analysis is essential, and knowledge of in situ measurements is desirable. You will have a good honours degree and PhD (or equivalent professional experience) in an appropriate discipline.
Formal interviews for this post will be held in early March 2020.
Informal enquiries about the post can be directed to Alison Nordon, Reader (email@example.com).
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