FoodBioSystems DTP are advertising 39 fully funded tax-free 4-year PhD studentships
Could this be the right opportunity for you?
We have projects on offer at our 7 partner universities.
We are looking for applicants who can apply their science to projects in research areas that span the entire food value chain including:
agricultural sciences, applied chemistry, artificial intelligence, biochemistry, bioinformatics, biological science, data science, environmental chemistry, food science & production, genomics, livestock farming and welfare, machine learning, marine sciences, mathematics, microbiology, nutrition, plant science and soil science.
All projects are advertised on the FoodBioSystems DTP website.
You can apply for up to TWO projects at any of our partner universities. Apply via our online application form https://foodbiosystemsdtp.grantplatform.com/ (opens 20 December).
Deadline for applications: Monday 3 February 2025 (10.00 GMT).
We offer a guaranteed interview scheme and an applicant mentoring scheme to students from eligible ethnic groups who hold UK fees status and who meet our academic eligibility criteria. Deadline for applicant mentoring scheme is 17 January 2025 (10.00 GMT).
Visit the DTP website to download applicant information, to find more information about the DTP training programme and profiles of our current research students.











BU contributions to successful Global Health conference
New paramedic science paper by BU’s Dr. Ursula Rolfe
Congratulation on newly published systematic review
Equitable Partnerships in Global Health Research
Horizon Europe Cluster 3 (Civil Security for Society) 2026 Calls Now Open
MSCA Doctoral Networks 2026 Call Information Webinar
ESRC Festival of Social Science 2026: Application Deadline Extended to Thursday 25 June 2026
Reminder: Register for the ESRC Festival of Social Science 2026 Information Session
ECR Funding Open Call: Research Culture & Community Grant – Apply now
ERC Advanced Grant 2025 Webinar
Update on UKRO services
European research project exploring use of ‘virtual twins’ to better manage metabolic associated fatty liver disease