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BARIToNE Project B - Data driven resource optimisation in the barley supply chain


   School of Life Sciences

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  Dr N Watson, Dr D Cook  No more applications being accepted  Competition Funded PhD Project (UK Students Only)

About the Project

Principal Industrial Supervisor – Emma Hanby, Campden BRI

Principal Academic Supervisors – Dr. Nicholas Watson, University of Nottingham

Additional Supervisors – Prof. David Cook, University of Nottingham

This project will be based at the Faculty of Engineering, University of Nottingham and the appointed student will registered at the University of Nottingham as the degree awarding institution.

The brewing industry needs to lower its carbon footprint with a specific focus on the resources (e.g. energy and water) used to process barley across the supply chain and methods to re-use waste streams from the brewing process. 

Data and digital technologies including sensors, machine learning and the internet of things have the potential to address these challenges due to their ability to monitor and optimise processes and generate actionable information. However, there is often a lack of understanding of the most useful data and appropriate technologies for a given application. In addition individual supply chain actors generally focus on optimising their own resource utilisation without considering the impact on the entire chain or understanding how components in their waste streams could be utilised by others. An example is manufacturers providing strict ingredient/feedstock specifications resulting in increased waste for producers and organisations up stream. 

This PhD project will explore the use of data and digital technologies to monitor and optimise resource use in barley production and brewing and identify the opportunities for waste stream reuse. The project will focus on determining what data should be collected, how the data should be collected (manually or with autonomous sensing), how the data should be analysed to generate actionable information and how the data can be shared between industry partners whilst ensuring privacy of commercially sensitive information.

Campden BRI is a membership based organisation with over 2500 companies in membership from the food and drink sector. They will sponsor this PhD project and provide technical supervision, access to their members and host a placement.

We are looking for applicants with the appetite and potential to address environmental sustainability challenges facing the brewing industry with a degree in either Engineering, Physical Sciences or Data/Computer Science. 

Information enquires can be directed towards Nicholas Watson, University of Nottingham ([Email Address Removed])

How to Apply

Please visit the main BARIToNE programme page for more details


Funding Notes

Studentship will cover a full UKRI stipend (currently £15,609/annum) tuition fees, training and travel budget. Part-time study is an option (please indicate on your application) and we offer enhanced support to individuals with primary care responsibilities or disabilities.
Applications are welcome from Home students. To be classed as a Home student, candidates must meet the UKRI eligibility criteria (found in the Training Grant T&C's here - https://www.ukri.org/wp-content/uploads/2021/08/UKRI-170821-TrainingGrantTermsConditionsGuidance-Aug2021.pdf).
Applicants are expected to hold (about to achieve) at least a 2:1 Honours degree (or demonstrable equivalent experience) in a relevant subject (e.g. Biology, Genetics, Plant Sciences, Ecology, Soil Science, Computer Sciences etc.).
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