Publisher
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Brian D Green

1 year 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 flag

Country

United Kingdom

University

The Queen's University Belfast

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Keywords

Computer Science
Machine Learning
Biomarker Research
Biology
Nutrition
Statistical Analysis
Artificial Intelligence
Health Science
Artificial Neural Network
Dietary Science
Mediterranean Diet
Statistic

About this position

?? Fully Funded PhD Opportunity – APPETITE Project??

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

Please share with your network or tag someone who might be interested in this groundbreaking opportunity.

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.

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Professors

Professor at Queen's University Belfast

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Biology

Artificial Neural Network

Dietary Science

Nutrition

Professor at Queen's University Belfast

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Biology

Mediterranean Diet

Nutrition

Dietary Science