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AI-Optimised Fermentation for Sustainable Protein Production from Food Side Streams

PGR-P-1913

Key facts

Type of research degree
4 year PhD
Application deadline
Wednesday 31 July 2024
Project start date
Tuesday 1 October 2024
Country eligibility
UK only
Funding
Funded
Source of funding
University of Leeds
Supervisors
Mr Alexander Bowler and Professor Nicholas Watson
Additional supervisors
Dr Celia Ferreira, Dr Darren Greetham
<h2 class="heading hide-accessible">Summary</h2>

One full scholarship is available in the School of Food Science and Nutrition in 2024. This scholarship is open to UK applicants only and covers UK tuition fees plus UKRI maintenance per year (currently &pound;19,237 in 2024/25). <br /> <br />

<h2 class="heading hide-accessible">Full description</h2>

<p>This fully funded PhD place provides an exciting opportunity to pursue postgraduate research in a range of fields relating to Food Science, Bioprocessing, Alternative Proteins and Data Analytics and is aligned to a currently funded BBSRC AI for Bioscience partnership with CSIRO (<a href="https://www.csiro.au/">Commonwealth Scientific and Industrial Research Organisation, Australian Government - CSIRO</a>) in Australia.&nbsp;</p> <p>The award is open to full-time candidates who have been offered a place on a PhD degree at the School of Food Science and Nutrition.&nbsp;</p> <p>Approximately one-third of all food produced gets wasted. At the same time, current alternative protein production often uses high-purity substrates. This project aims to use AI to optimise yeast fermentation processes that use agri-food side streams as substrates to produce sustainable, economic, and nutritious proteins for human consumption.&nbsp;</p> <p>Agri-food side streams are often variable in composition with low nutrient and high moisture content, making fermentation challenging. This means that the pretreatment methods, fermentation parameters, yeast species, nutrient supplementation, and downstream processing must be optimised for each new side stream. This project will produce transferable AI models that enable quick optimisation and evaluation of the economic and environmental viability of valorising new agri-food side streams. This will reduce the laboratory data collection burden for researchers in the UK and world-wide.&nbsp;</p> <p>Specifically, this project will: &nbsp;</p> <ul> <li>Create databases by collecting fermentation data in the laboratory and collating previous experimental results from the literature.&nbsp;</li> <li>Use hybrid modelling to combine data-driven machine learning with mechanistic knowledge from first-principle physical equations to model microbial dynamics.&nbsp;</li> <li>Develop environmental, economic, and nutrition metrics to evaluate the fermentation processes.&nbsp;</li> <li>Utilise Bayesian optimisation to guide the trials in the laboratory whilst optimising for environmental sustainability, economics, and nutrition.&nbsp;</li> <li>Explore the use of advanced sensing techniques (e.g., ultrasonic sensors, near-infrared spectroscopy, or computer vision) to further improve production by characterising materials (e.g., food waste streams, substrates after pretreatment, fermentation products) and monitoring processes (e.g., pretreatment methods, fermentation, and downstream processes).&nbsp;</li> </ul> <p>Information about the Award</p> <ul> <li>We are offering 1 full-time PhD scholarship in the School of Food Science and Nutrition for one UK candidate, with UKRI maintenance per year (currently &pound;19,237 in 2024/25) per year and UK tuition fees for four years, subject to satisfactory progress.&nbsp;</li> </ul> <p>Duration of the Award</p> <ul> <li>Full-time (4 years). The award will be made for one year in the first instance and renewable for a further period of up to three years, subject to satisfactory academic progress.</li> </ul> <p>Other Conditions</p> <ul> <li>Applicants must not have already been awarded or be currently studying for a doctoral degree.</li> <li>Awards must be taken up by 1st October 2024.</li> <li>Applicants must live within a reasonable distance of the University of Leeds whilst in receipt of this scholarship.<br /> &nbsp;</li> </ul>

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is&nbsp;AI-Optimised Fermentation for Sustainable Protein Production from Food Side Streams as well as <a href="https://environment.leeds.ac.uk/faculty/staff/12297/professor-nicholas-watson">Professor Nicholas Watson</a> as your proposed supervisor. Please ensure that you apply to the School of Food Science and Nutrition.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to this scholarship in the School of Food Science and Nutrition should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) as well as a master's degree in an appropriate discipline. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.5 overall with no individual skill band below 6.0 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p>One full scholarship is available in the School of Food Science and Nutrition in 2024. This scholarship is open to UK candidates only and covers UK tuition fees plus UKRI maintenance per year (currently &pound;19,237 in 2024/25).&nbsp;</p>

<h2 class="heading">Contact details</h2>

<p>For further information please contact the Post Graduate Research Admissions Team by emailing:</p> <p>ENV-PGR@leeds.ac.uk</p>


<h3 class="heading heading--sm">Linked research areas</h3>