Brian D Green
5 months ago
AI-powered Platforms for Predictive Evaluation of Dietary Intake, Trends, and Biomarkers SUSTAIN Centre for Doctoral Training in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD studentship is fully funded, covering all tuition fees. A tax-free stipend is provided at UKRI rates to cover living costs. A Research Training Support Grant of £3,000 per year (up to £12,000 total) is available for travel, training, and consumables. Additional funding is provided for outreach, dissemination, summer schools, research events, and development projects.
Deadline
Oct 1, 2026
Country
United Kingdom
University
The Queen's University Belfast
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About this position
Funding details
The PhD studentship is fully funded, covering all tuition fees. A tax-free stipend is provided at UKRI rates to cover living costs. A Research Training Support Grant of £3,000 per year (up to £12,000 total) is available for travel, training, and consumables. Additional funding is provided for outreach, dissemination, summer schools, research events, and development projects.
What's required
Applicants must hold an Honours degree (minimum 2:1) in either Computer Sciences (with expertise in AI/Machine Learning) or Life Sciences (with expertise in dietary assessment). Candidates should be self-driven, curious, and eager to work across disciplines in an interdisciplinary team. Enthusiasm for public/policy engagement and departmental activities is highly valued. Both Home and International applicants are eligible.
How to apply
Apply via the provided link to the SUSTAIN CDT website. Prepare your application materials according to the entry requirements. Ensure you meet the eligibility criteria before submitting. Contact the supervisors or CDT for further information if needed.
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Are you ready to combine AI and Machine Learning with Human Nutrition to transform dietary assessment and health research?
The SUSTAIN Centre for Doctoral Training is recruiting for a fully funded PhD studentship titled:
Project Q3134: APPETITE – AI-powered Platforms for Predictive Evaluation of dieTary Intake, Trends, and biomarkErs
What’s on offer
All PhD tuition fees paid
A tax-free stipend at UKRI rates to cover living costs
A Research Training Support Grant of £3,000 per year for travel, training, and consumables (up to £12,000 total)
Additional funding for outreach, dissemination, summer schools, research events, and development projects
Entry Requirements
Either: Honours degree (minimum 2:1) in a Computer Sciences subject with expertise in AI / Machine Learning
Or:Honours degree (minimum 2:1) in a Life Sciences subject with expertise in dietary assessment.
Who they are looking for
A self-driven, curious student eager to work across disciplines and as part of an interdisciplinary team. Enthusiasm for public/policy engagement and departmental activities is highly valued.
Skills you’ll gain
Nutritional sciences: dietary assessment tools, biomarker identification, data cleaning and statistical analysis
Computer sciences: large-scale tabular/image data handling, neural network implementation, high-performance computing
Research into dietary frameworks such as the Mediterranean diet
Location: UK (SUSTAIN CDT Partner Institutions)
?? Apply here: https://lnkd.in/dkrBkXMB
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