| Qualification Type: | PhD |
|---|---|
| Location: | Norwich |
| Funding for: | UK Students, EU Students, International Students |
| Funding amount: | £21,805 |
| Hours: | Full Time |
| Placed On: | 23rd October 2026 |
|---|---|
| Closes: | 30th November 2026 |
| Reference: | CHAPMAN_U27DTP |
Primary Supervisor - Professor Tracey Chapman
Mediterranean fruitfly (medfly) is a global agricultural pest that causes annual billion-dollar losses and threatens food security. It is predicted to spread to the UK within the next 2 decades due to climate warming. CRISPR-based technologies enable significant advances for population suppression, and gene drives in particular offer promise for self-propagating, sustainable alternatives to pesticides for medfly and other key pests. However, a central obstacle remains: existing drives in medfly work in principle but are not field-ready. Through the receipt of interdisciplinary training, you will build, test and optimise critical components needed to close the gap to field readiness for this innovative control technology.
Based at the UEA, you will gain in-demand skills in CRISPR design, gene drive construction, single-nucleus transcriptomics, quantitative phenotyping and population modelling, supported by placements at Keele (applied agricultural entomology) and Imperial College (gene drives, synthetic biology).
You will develop and apply a split-drive optimisation pipeline, using the separation of Cas9 and gRNA components to directly identify the parameters that govern gene drive performance. A key focus is discrimination and optimisation: isolating which promoters, guides and targets improve homing while suppressing the factors that degrade drive efficiency such as resistance alleles and shadow drive. You will focus initially on optimising components and establishing phenotyping protocols, before moving on to selecting targets to test for field-deployability. Throughout, you will build translational insights.
You will be immersed within a tailored training environment designed to foster innovation and independence. This will equip you with state-of-the-art skills in CRISPR editing, cloning, insect handling, bioinformatics, and modelling, giving you a strong set of varied skills for future career development and ensuring that you are well-prepared to contribute to genetic biocontrol innovations from concept to application.
The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2027 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project whilst enhancing professional development and research skills through a comprehensive training programme. All NRPDTP students undertake a three-month professional internship placement (PIPS) during their study. Full support and advice will be provided by our Professional Internship team.
Shortlisted applicants will be interviewed on the 2nd, 3rd and 4th February 2027.
This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD DTP studentship. The studentship includes payment of tuition fees (directly to the University), a stipend to cover living expenses (2026/27 stipend rate: £21,805, and a Research Training Support Grant of £5,000pa for each year of the studentship.
Students are selected for admission without regard to gender, marital or civil partnership status, disability, race, nationality, ethnic origin, religion or belief, sexual orientation, age or social background.
To maximise accessibility and attract students from underrepresented groups to our programme we have introduced bespoke templates for applicant Personal and Research statements which will enable every applicant to fully represent themselves through providing suitable examples and evidence. These forms are on the NRPDTP website and must be used for these sections of the application form.
Entry requirements
At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category).
Start date
1 October 2027
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