Claudio Angione

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.

Teesside University is advertising a fully funded PhD studentship in the research area of epigenetics , antifungal resistance , and fungal infection biology . The project is titled Deciphering the epigenetic gene regulatory landscape in the major mould pathogen of human lungs, Aspergillus fumigatus , and is based in the group of Takanori Furukawa in collaboration with Prof Claudio Angione and Prof John S. Young . This opportunity is aimed at a highly motivated candidate with a strong interest in the molecular and regulatory mechanisms underlying fungal pathogenicity, especially the epigenetic control of gene expression in Aspergillus fumigatus . The post is explicitly stated as UK Home student only . Funding: fully funded PhD studentship. Deadline: 28 July 2026 at 5:00 PM. How to apply: review the project information on the Teesside University research funding page and follow the application link provided. Submit your application before the deadline and confirm that you meet the UK Home student eligibility requirement.