Bath Chemical Engineering PhD Project (Competitive Studentship): Genome-Scale Metabolic Models of Yarrowia lipolytica for Waste-Nutrient Valorisation in Cellular Agriculture
Project 1846 · University of Bath · Department of Chemical Engineering
Application workspace
Save this opportunity and prepare around its actual requirements. Confirm deadlines and eligibility at the original source.
- Country or region
- United Kingdom
- Application deadline
- 2026-11-29 (confirm the exact time with the source)
- Funding
- Competitive Engineering URSA award for Home and Overseas applicants; Overseas places are capped, with no number or share stated. Covers tuition, maintenance and £1,000 per year in training support. £21,805 is the 2026/27 rate, not a confirmed 2027/28 amount. Engineering URSA generally funds up to 3.5 years against a normally four-year PhD; the individual award period is unknown. International students pay Student visa and Immigration Health Surcharge costs personally.
The research opportunity
Bath Chemical Engineering PhD Project (Competitive Studentship): Genome-Scale Metabolic Models of Yarrowia lipolytica for Waste-Nutrient Valorisation in Cellular Agriculture
Project overview
This project is one of several competing for a studentship from the Faculty of Engineering and Design at the University of Bath. If awarded, the studentship is expected to start on 4 October 2027. An alternative start date may be possible by agreement with the intended supervisors and the Doctoral College.
The agrifood system generates around one third of global greenhouse gas emissions [1], so more sustainable food systems are needed to avert the worst effects of climate change [2]. Sustainability is central to the University of Bath's Cellular Agriculture Manufacturing Hub mission [3]. This project explores whether so-called waste nutrient streams can support more circular cellular agriculture processes.
Precision fermentation grows microbial strains to produce food-related products such as oils and proteins. The project aims to develop genome-scale metabolic models (GEMs) for industrially relevant microbes and use them to study precision-fermentation processes that use agricultural and/or cell-culture waste nutrients as feedstocks. The project describes this as a novel approach. GEMs could also inform future in-silico studies of microbial gene editing and culture-media cost reduction; these are potential future uses, not established outcomes of this project.
Advertised doctoral work
The project describes three connected areas of work:
- Develop base GEMs for an industrially relevant precision-fermentation microbe, with Yarrowia lipolytica given as an example.
- Conduct bench-scale microbial fermentations using different waste feedstocks and generate transcriptomic and metabolomic datasets to contextualise the GEM.
- Use the curated GEM to identify nutrient additives that enable economically sufficient microbial growth on the waste feedstocks, and validate the effectiveness of the feedstock formulations in yeast fermentation.
These are proposed research tasks. Lower costs, environmental benefits and commercially sufficient performance are aims, not reported results.
Applicant requirements
Applicants must have, or be about to obtain, a UK Honours degree at first-class or upper-second-class level (1st or 2:1), or an international equivalent. A Master's-level qualification is advantageous. Relevant subjects include Chemical Engineering, Biochemical Engineering, Biotechnology, Bioengineering, Computer Science or a closely related discipline. Applicants with a First-Class BSc/BEng (Hons) and significant relevant industry or research experience may also be considered; how this route applies to an individual applicant is not specified.
Experience or a strong interest in any of the following is valued:
- Genome-scale metabolic models.
- Programming and data analysis, including Python or MATLAB.
- Microbial fermentation, for example with yeast or E. coli, and/or cell cultivation.
- Culture-media development and analysis.
These are valued areas of experience or interest; the project description does not require applicants to have experience in all of them.
Non-UK applicants who are not currently studying in the UK must meet the programme's English-language requirement before the application deadline. The project description states that no exceptions will be considered but does not specify test scores.
Application, timing and funding
Make a formal application through the University of Bath's online application form for a PhD in Chemical Engineering. Applicants may apply for up to two PhD projects on this programme. In the “Funding Your Studies” section, select “University of Bath URSA.” In “Your PhD project,” enter the full project title in “PhD project title” and the lead supervisor's name in “Name of intended supervisor at University of Bath.” For a second choice, enter its title in “Project 2 Title” and its lead supervisor in “Name of intended supervisor for 2nd choice project at University of Bath.” The project description warns that incorrect or missing entries can disrupt automated processing and may mean an application is not considered for the relevant project.
The project information gives 29 November 2026 as the application deadline but does not state a time. The October 2026 Engineering URSA information gives 23:59 GMT on that date. If awarded, the studentship is expected to start on 4 October 2027; another date may be possible if agreed with the intended supervisors and the Doctoral College.
This is a competitive studentship for Home and Overseas students. Overseas awards are capped in line with UKRI policy, but the available project information gives no percentage. The studentship covers tuition fees, provides £1,000 per year in training support and includes a maintenance stipend; £21,805 is the stated 2026/27 rate. The general Engineering URSA funding limit is up to 3.5 years against a normally four-year PhD; the individual funded period and 2027/28 stipend are unknown. International students must cover the Student visa and Immigration Health Surcharge from personal funds.
Informal enquiries are encouraged. Contact Dr Akin Odeleye at aooo27@bath.ac.uk.
Equality, diversity and inclusion
The University encourages applications from under-represented groups and says it values an inclusive research environment. Applicants may describe circumstances that affected their educational attainment in the application form; the project information suggests adding a short paragraph at the end of the personal statement. If an applicant discloses a disability, the Disability Service will contact them to discuss support needs.
Keywords
Sustainability; cellular agriculture; genome-scale metabolic model; programming; cell metabolism; precision fermentation.
The saved project and funding information is dated October 2026. Before applying, confirm directly with the contact whether this specific project remains available and whether its terms have changed.
Research and application brief
Report generated: . This date does not confirm that recruitment remains open.
Information updated: . Recheck the original notice before applying.
Show report contents
Bath Chemical Engineering PhD Project (Competitive Studentship): Genome-Scale Metabolic Models of Yarrowia lipolytica for Waste-Nutrient Valorisation in Cellular Agriculture
Quick Decision
Strong but verify fit. This Bath Chemical Engineering project connects genome-scale metabolic modelling with evidence from industrial yeast and waste nutrient streams. Its attraction is the chance to learn when a biological model is useful for a real manufacturing decision, rather than treating a feasible simulation as a sustainable process. Akin Odeleye's current modelling paper and CARMA role support that direction. The URSA terms available in October 2026 describe an international tuition-and-maintenance competition. The main questions are the initial model and data, supervision across computation and experiments, and personal award terms. The project deadline is 29 November 2026; the current Engineering URSA clock is 23:59 GMT.
Research Problem and Doctoral Work
The advertised problem is whether agricultural and/or cell-culture waste nutrients can support precision-fermentation research using an industrially relevant organism such as Yarrowia lipolytica. Proposed work connects a base genome-scale metabolic model, transcriptomic and metabolomic evidence and bench-scale validation. Food ingredients and process circularity are the context. Lower cost, lower emissions and commercially sufficient performance remain objectives, not demonstrated outcomes of this doctoral project.
The announced work has three concrete parts: develop a base GEM for an industrially relevant precision-fermentation microbe, with Yarrowia lipolytica as an example; conduct bench-scale fermentations on different waste feedstocks and generate transcriptomic and metabolomic datasets to contextualise the model; then use the curated GEM to identify nutrient additives that enable economically sufficient microbial growth on those feedstocks and validate the formulations in yeast fermentation.
The scientific issue is model validity under changing data and feedstock conditions. A genome-scale network can describe possible metabolism without uniquely predicting what a particular culture will do. Odeleye's 2026 coauthored paper provides a relevant warning: standard modelling did not adequately capture stress-related behaviour in its mammalian-cell example, and a process-aware framework improved reported predictions. That supports investigating the relationship between model assumptions and observations; it does not establish equivalent accuracy in yeast or agricultural waste. The available assessment is limited to the original abstract and metadata, excluding full methods and raw data. 2026 modelling original.
For doctoral assessment, useful questions concern the provenance and quality of observations, how uncertainty is represented, and whether apparent agreement survives evaluation on data not used to tune a model. A measured concentration, an inferred metabolic quantity and a model prediction should remain distinguishable. These are analytical priorities inferred from the proposal and paper, not an announced fixed validation protocol. The actual yeast model, waste-stream access, data licence, experimental allocation and first-year deliverable are unpublished.
Circularity also needs a system boundary. Waste-derived material may carry collection, preparation, quality-assurance and downstream burdens. A better biological prediction alone cannot establish a lower-impact food process. CARMA's research framework explicitly includes whole-life value and environmental, economic and ethical feasibility. That is a suitable context for asking what comparisons the thesis will support, not evidence that this project already has a complete life-cycle or techno-economic assessment. Any claimed environmental improvement would need an appropriate comparator and disclosed uncertainty. CARMA research framework.
School, Programme and Field Context
The formal degree is the University of Bath Chemical Engineering PhD, RECE-AFM02. The current course normally takes four years full-time, with a two-year minimum. It describes probationary registration, confirmation assessment, supervised research, thesis submission and viva examination. Bath awards the degree. CARMA's multi-university activities and Odeleye's earlier Oxford and industry links do not establish a joint doctorate, employment contract or guaranteed placement for this student. Chemical Engineering PhD.
The department combines chemical, biochemical, materials and resource-process research. Odeleye's official profile places him in The Foundry: Centre for Digital, Manufacturing & Design; CARMA separately lists his cellular-agriculture role. These provide relevant intellectual environments for computational and experimental bioprocess work. Specific courses, access to analytical facilities, technical support and daily training responsibilities still require agreement. MyDoctoralDevelopment offers general doctoral development rather than a project-specific curriculum. Current academic profile, CARMA team, Doctoral development.
Bath's REF 2021 submitted combined Engineering unit had 96% of research rated world-leading or internationally excellent. This includes Chemical Engineering and is not a ranking of this supervisor or industrial-yeast modelling. QS lists Bath at 125 overall for 2027. Those signals add institutional context, while the more important training question is whether modelling, data analysis and experimental interpretation are supported as a coherent thesis. The normal four-year study period also needs to be distinguished from URSA's shorter general funding cap. REF 2021 results, QS institutional ranking.
Supervisor and Lab Assessment
Akin Odeleye is a Lecturer in Chemical Engineering, with official email aooo27@bath.ac.uk and ORCID 0000-0002-0146-1111. CARMA lists him in Work Package 1 and describes cellular-agriculture bioprocessing, digital engineering and fluid dynamics, with chemical and biochemical engineering training and industrial experience. The recruitment names him alone. Hub colleagues, paper coauthors and former employers should not be promoted to formal co-supervisors, a placement provider or a source of this student's funding. Odeleye's current role, CARMA role and background.
The literature assessment identifies three coauthored originals, of which only one is from 2022–26. Wee et al., Biochemical Engineering Journal 2026, 110325 combines enzyme-constrained metabolic modelling with empirical process information. Its original abstract reports improved predictions in a CHO-cell example; data are available on request. The official record confirms early online publication on 22 July 2026, despite a November issue date. It is current published evidence, not a future unpublished result. Its relevance is model–process integration; its organism, dataset and quantitative results cannot be transferred directly to this yeast project. Full methods, raw data and supplementary evidence are outside the available scope. Current modelling paper.
Odeleye et al., Biochemical Engineering Journal 2020, 107515 combines computational fluid dynamics, additive manufacture and prototype comparison in a mammalian-cell bioreactor. Its evidence scope is the complete repository abstract and publisher-indexed introduction/conclusion excerpts. It illustrates a computational-to-physical validation approach, but is an older engineering foundation, not a recent yeast-GEM result. Nguyen et al., Scientific Reports 2019, 3477 compares responsive carriers and cell-quality outcomes. Its evidence scope is selected original results, discussion, conclusion and contribution statements. It shows why output quantity and retained biological quality are distinct endpoints; it does not demonstrate waste-nutrient performance or food safety. Odeleye is a coauthor contributing validation and analysis, not the sole project leader of that study. 2020 engineering original, 2019 material–cell original.
This record supports a bioprocess-modelling opportunity while leaving the breadth of recent yeast-specific work and hands-on guidance to clarify. CARMA lists relevant nutrient-recovery and yeast expertise, but personal access is not guaranteed by membership. Ask who will support model curation, data interpretation and experimental work, how often meetings occur and whether staff support will remain available through the doctorate. Transferable skills could suit computational bioprocess research, food manufacturing or process-development roles; no industry job, commercial success or placement is promised.
Funding, Application, and Living Cost
The project explicitly directs applicants to URSA. The Engineering and Design information available in October 2026 describes October 2027 entry and a deadline of 29 November 2026 at 23:59 GMT. The source project gives the same date without a clock. Expected start is 4 October 2027, with alternatives requiring supervisor and Doctoral College agreement. Official funding includes Home or Overseas tuition, maintenance and up to £1,000 yearly training support. This is a positive international competitive route, not a requirement that an applicant already hold a personal award. The source advert states an Overseas cap without specifying a percentage. Current URSA terms.
Engineering's general award maximum is 3.5 years, compared with a normal four-year PhD. Personal funded months, the 2027 stipend, continuation and writing-up arrangements are unknown. £21,805 is the 2026/27 reference; training support is not disposable living income. Current 2027/28 Overseas Engineering research tuition is £31,350 annually, with annual-increase provisions. A tuition-covering award may pay this liability; it should not be counted again as an additional personal bill without checking the offer. Any research or bench charge and costs beyond the funded term need confirmation. Award value, Research tuition.
Bath's 2025/26 sample postgraduate budget is £405 a week, £21,060 over 52 weeks, with university-managed rent averaging £230 weekly on a 51-week contract. These are dated planning figures. Comparing the sample with £21,805 leaves £745, but mixes reference years and is not a 2027 income forecast. Accommodation choice, summer housing and inflation may materially change the balance. Flights, tuition and immigration charges are outside that sample. Official budget.
The October 2026 references are £558 for a Student visa application and £776 per visa year for the student IHS; validity and part-year rules determine the total. URSA explicitly leaves visa and IHS to the student, so relocation requires upfront planning even if tuition is covered. Recheck rates when applying. The advertised research has no named company employment arrangement and historical paper or Hub funding cannot be substituted for the personal award. Student visa, IHS.
Applicant Fit and Preparation
The advert requires a first or 2:1 Honours degree or international equivalent, including those about to qualify; a Master's is advantageous. Relevant disciplines include chemical or biochemical engineering, biotechnology, bioengineering, computer science and related fields. It additionally mentions considering a first-class BSc/BEng with substantial relevant industry or research experience. Ask how this branch applies to the actual transcript rather than reading it as an unrestricted waiver. Experience or strong interest in modelling, programming/data analysis, fermentation/cell cultivation or media analysis is valued; the advert does not make all four prior experiences compulsory.
For Chinese applicants, the worldwide equivalence route and explicit Overseas-tuition competition support eligibility in principle. The current country information does not establish a uniform Chinese PhD percentage; taught-postgraduate percentages are not doctoral cutoffs. The course generally accepts a first/2:1 equivalent or Master's Merit equivalent but permits advertised projects to impose specific requirements. A Master's should not automatically erase the advert's undergraduate and subject conditions. Course requirements, International qualification guidance.
Chemical Engineering requires IELTS 6.5 with each component at least 6. TOEFL iBT/Home Edition uses 90 with every component 21 before 21 January 2026, and 4.5 with every component 4 on the newer scale for tests taken on or after 21 January 2026. Tests normally must be within 24 months before entry. A qualifying recent English-taught degree may permit individual exemption; Chinese English-medium instruction is not automatic clearance. Non-UK applicants not currently studying in the UK must meet the language requirement by the application deadline, with no exceptions. Generic pre-sessional or conditional-entry wording does not postpone this funding condition. Course English, Doctoral English policy.
Prepare an up-to-date CV, degree certificates, transcripts, authorised English translations where needed, personal statement, funding plans and research details. Two referees are required, including a recent academic referee; intended supervisors cannot act as referees. The own-idea 1,000-word proposal rule should not automatically become a defined-project requirement. Select URSA and the exact title/supervisor fields; at most two projects are allowed. Bath prohibits AI-generated application text. Chemical Engineering is ATAS-covered, and Chinese nationality is not exempt, but this is an individual clearance process rather than an admission ban. Current application guide, ATAS rules.
The University encourages applications from under-represented groups and says it values an inclusive research environment. Applicants may describe circumstances that affected their educational attainment in the application form; the project information suggests adding a short paragraph at the end of the personal statement. If an applicant discloses a disability, the Disability Service will contact them to discuss support needs.
Next Actions and Questions to Verify
Before applying, contact Odeleye about which industrial yeast and existing model provide the starting point, which waste-stream observations are accessible, and the balance between computational and experimental training. Ask how overseas degree equivalence and any English exemption will be confirmed before 29 November. Prepare the current guide's CV and supporting documents and follow the URSA two-project fields. The available project notice does not state its publication date; the course, supervisor and funding discussion draws on related October 2026 information. Confirm current individual project availability directly rather than inferring it from a later general policy.
At interview, discuss how model–data disagreement will be interpreted, what independent validation means for this dataset and how a sustainable-process claim would be bounded. Ask which skills are taught and who supports each part of the work. A defensible model with clearly stated limitations can be a doctoral contribution even without a commercially successful food process. Ask for recent yeast-specific work beyond the one current modelling paper and two older foundations identified here.
Before accepting, obtain personal funded months, 2027 maintenance, tuition/bench coverage and a plan for any remaining fourth-year costs. Confirm data permissions, technical support, supervision frequency, intellectual property and any expected industry visits. Admissions should clarify ATAS, CAS and relocation timing. These missing details affect feasibility; they should be resolved within, rather than confused with, the documented international funding competition.
Evidence and Sources
Research, Supervisor and Original Studies
- Akin Odeleye current Bath profile
- CARMA official team Odeleye and relevant research environment
- Wee et al. 2026 process-aware metabolic modelling original
- Odeleye et al. 2020 additive bioreactor design original
- Nguyen Odeleye et al. 2019 responsive carrier original
- CARMA current whole-life circular manufacturing research framework
School and Doctoral Training
- Chemical Engineering PhD current official programme
- Bath REF 2021 submitted engineering results
- Bath doctoral professional development
- QS Bath overall 2027 table
Funding, Application and Living Cost
- Current URSA 2027 Engineering international funding
- Current doctoral application guide including CV
- Bath doctoral English rules
- Bath Chinese research-degree qualification route
- Bath Engineering research tuition 2027/28
- Bath postgraduate budget 2025/26
- UK Student visa route
- UK immigration health surcharge
- ATAS nationality and covered subject rules
Sources
The listing may come from a university or recruitment platform. Check the notice and official sources in the report for current application requirements. View the recruitment source
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