Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
The University of Manchester
Top university
Just Landed
New Today
FSE PhD President's Doctoral Scholarship: Phase-optimised PUFA Production in Oleaginous Yeast via Transcriptomics-Guided Enzyme-Constrained Metabolic Modelling The University of Manchester in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Dec 18, 2026
Country
United Kingdom
University
The University of Manchester
Apply for this scholarship
Keywords
Suggested scholarships
About this position
This PhD studentship at The University of Manchester focuses on improving the production of polyunsaturated fatty acids (PUFAs) in oleaginous yeasts using a transcriptomics-guided, enzyme-constrained metabolic modelling approach.
The project aims to connect RNA-seq data, proteomics, genome-scale metabolic models, and fermentation data to predict and improve production efficiency across selected yeast hosts. The student will work on a design-build-test-learn cycle that includes curating native phase-responsive promoters, characterising promoter kinetics with RNA light-up aptamers, constructing phase-specific expression cassettes, and testing engineered strains in controlled fermentations under exponential and nitrogen-limited conditions.
Research activities will also include lipid analysis by GC-MS, phase-resolved RNA-seq, LC-MS proteomics, and the use of genome sequence and annotation data to support model construction and strain selection. On the modelling side, the project will apply enzyme-constrained flux scanning based on enforced objective flux and kinetic flux control coefficient analysis to identify pathway demands, bottlenecks, and overexpression opportunities.
The work is framed around selected oleaginous yeasts such as Yarrowia lipolytica, Rhodotorula toruloides, and Lipomyces starkeyi, with modelling outputs guiding successive rounds of strain engineering. The project sits within a quantitative, systems-level biotechnology research environment and is intended to generate predictive models of PUFA production efficiency under different genetic and process scenarios.
The main project supervisor is Dr Martin.
Funding details
Available
What's required
Open to both Home (UK) and international applicants. Applicants must submit a formal application through the online portal, specifying the full project title and supervisor(s), details of previous study, and names and contact details of two referees. A Supporting Statement, CV, and transcripts of awarded and in-progress university qualifications must also be uploaded. Late or incomplete applications will not be considered.
How to apply
Contact the main project supervisor, Dr Martin, to discuss the project before applying. Submit a formal application through the University of Manchester online portal and select the FSE PhD President’s Doctoral Scholarship programme. Upload the required supporting statement, CV, transcripts, and referee details.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the provider.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the provider.