Publisher
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Claudio Angione

9 months ago

Fully-funded PhD in Multimodal AI for Imaging and Biotechnology at Teesside University Teesside University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded for four years, with a tax-free stipend of £20,780 per year. Additional yearly travel and personal development funds are provided. Tuition fees are covered.

Deadline

Expired

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Country

United Kingdom

University

Teesside University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Biotechnology
Medical Imaging
Deep Learning
Biology
Computational Biology

About this position

Teesside University is offering a fully-funded PhD opportunity in the field of multimodal artificial intelligence (AI) for imaging and biotechnology. The position is hosted by Professor Claudio Angione, head of the Computational Systems Biology Research Group, which operates at the intersection of computational systems biology, deep learning, and biotechnology. The group has a strong track record of research in AI-driven approaches for omics data integration, imaging, and biotechnological applications, with recent publications in top journals such as Cell Reports Methods, Biotechnology Journal, and Trends in Cell Biology.

The successful candidate will join a vibrant research environment focused on developing and applying advanced AI and machine learning techniques to solve complex problems in imaging and biotechnology. The group’s research spans multimodal data analysis, genome-scale metabolic modeling, and the integration of omics and clinical data, making it an ideal setting for students interested in computational biology, biomedical engineering, and computer science.

The PhD position is fully funded for four years, offering a tax-free stipend of £20,780 per year, plus additional yearly travel and personal development funds. Tuition fees are covered, ensuring financial support throughout the program. Applicants should have a strong background in computer science, AI, computational biology, or related fields, and experience with deep learning, machine learning, or omics data integration is highly desirable. The group values interdisciplinary collaboration and encourages candidates with excellent communication and teamwork skills to apply.

To apply, candidates should visit the provided application link and group website for further details. The deadline for applications is 7th January 2026 at 5pm. This opportunity is ideal for students passionate about advancing the frontiers of AI in imaging and biotechnology within a supportive and innovative research group at Teesside University.

Funding details

The position is fully funded for four years, with a tax-free stipend of £20,780 per year. Additional yearly travel and personal development funds are provided. Tuition fees are covered.

What's required

Applicants should be passionate about multimodal AI for imaging and biotechnology. A strong background in computer science, artificial intelligence, computational biology, or related fields is preferred. Experience with deep learning, machine learning, or omics data integration is highly desirable. Candidates should have a good undergraduate or master's degree in a relevant discipline. Excellent communication and teamwork skills are expected.

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