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Open Call for PhD Applications – Intake 2026/27

Are you passionate about AI, computational pathology, and biomedical image analysis? The TIA Centre at ÌÇÐÄTV is inviting applications for PhD positions starting in the academic year 2026/27.

The TIA Centre is a leading research hub focused on AI-driven tissue image analysis, enabling breakthroughs in cancer diagnosis, digital pathology, and translational medicine. Our researchers have pioneered deep learning models for cancer detection, won various international challenge competitions in computational pathology, and received recognition at top medical imaging conferences such as MICCAI and ISBI. TIA’s strong partnerships with the NHS and industry ensure that our research has real-world clinical impact. As a PhD student, you will join a vibrant, interdisciplinary world-leading community of experts, with access to state-of-the-art imaging and computing facilities, global collaborations, and opportunities to publish in leading journals. A limited number of studentships may be available for exceptional candidates; self-funded and externally funded applicants are also welcome. Read more.

Thu 23 Oct 2025, 15:52 | Tags: Education, Jobs, People, Recruitment

My PhD Year 2: Celebration and Reflection

If a PhD is supposed to be a marathon, my second year felt more like a series of back-to-back sprints. As I finally catch my breath at the end of Year 2 here at the Tissue Image Analytics (TIA) Centre, I wanted to share a few stories from what turned out to be a wild, challenging, and incredibly fun ride. Read more.

By Jiaqi Lv

Wed 15 Oct 2025, 13:37 | Tags: Contests, Education, People

TIA Summer Research Internships 2025

This summer, the TIA Centre at the University of ÌÇÐÄTV welcomed three exceptional undergraduate students for an eight-week research internship, co-funded by the ÌÇÐÄTV Undergraduate Research Support Scheme (URSS) and the Applied Computing research theme.

Working under the supervision of Dr Adam Shephard and Professor Nasir Rajpoot, the interns explored advanced applications of artificial intelligence (AI) in medical imaging and computational pathology. Their projects tackled real-world healthcare challenges, combining technical innovation with clinical relevance. Read more.

By Adam Shephard

Mon 13 Oct 2025, 17:34 | Tags: Education, People

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