James Hopgood
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About
Professor James Hopgood is a faculty member at the University of Edinburgh, UK. His research focuses on adaptive fluorescence lifetime imaging, machine learning applications in imaging techniques, and advanced statistical methods for bacterial detection. His recent publications demonstrate a commitment to enhancing clinical precision through innovative imaging methodologies and data analysis strategies.
Recent Grants
Grant: Close
Machine Learning for Fibre-Bundle Endomicroscopy Systems
Open Date: 2021-09-30
Close Date: 2025-03-30
Grant: Close
IDCOM: Machine Learning Techniques for Evaluating Disease and Drug Effectiveness in Fibre-Bundle Endomicroscopy Systems.
Open Date: 2021-08-31
Close Date: 2025-02-28
Grant: Close
Machine Learning Techniques for Evaluating Disease and Drugs Effectiveness in Fibre-Bundle Endomicroscopy Systems
Open Date: 2021-03-01
Close Date: 2025-02-28
Grant: Close
Technologies for mitigation and monitoring of environmental issues caused by floating offshore wind
Open Date: 2020-08-31
Close Date: 2024-08-30
Grant: Close
Next-Generation Sensing For Human In Vivo Pharmacology- Accelerating Drug Development In Inflammatory Diseases
Open Date: 2019-09-30
Close Date: 2022-09-29
Positions (1)
James Hopgood
University of Edinburgh
8 months ago
<p>The EPSRC/MoD Centre for Doctoral Training (CDT) in Sensing, Processing and AI for Defence and Security (SPADS) is now accepting applications for its prestigious four-year PhD programme, jointly offered by the University of Edinburgh and Heriot-Watt University. This programme is designed for ambitious graduates in Engineering, Computer Science, Mathematics, Physics, and related fields who are eager to address real-world research challenges in AI, sensing, and processing to advance ethical defence and national security capabilities.</p> <p>SPADS CDT provides a vibrant research community, extensive technical training co-designed with industry and government partners, and opportunities for internships. Students will benefit from a supportive cohort environment, professional networking with UK industry and government organisations, and access to world-class academic expertise and facilities at both universities.</p> <p>The programme offers comprehensive funding, including a competitive tax-free stipend of £31,000 per year for home-fee students (as part of the UK Government’s TechExpert Pilot) and £23,112 per year for international students (2025/26 rates). Tuition fees and a generous research training and support grant (RTSG) are also covered. Students will have the opportunity to undertake internships with industry or government partners and participate in a rich programme of cohort events designed to enhance skills and connections.</p> <p>Applicants should have a strong undergraduate or master's degree in a relevant field and a passion for research in AI, sensing, processing, and defence/security applications. The CDT encourages applications from women and under-represented groups in STEM, promoting a culture of inclusion and diversity.</p> <p>Applications are open for a PhD start in September 2026. The deadline for the first round of applications is 31 January 2026. For more information and to apply, visit the SPADS CDT website or contact [email protected].</p>
8 months ago
Articles (14)
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Collaborators (6)
Qiang Wang
University of Edinburgh
Marta Vallejo
Associate Professor in AI/Machine Learning
Heriot-Watt University
Keith Brown
Heriot-Watt University
Bethany Mills
University of Edinburgh
Thomas P. S. Reynolds
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Mengwei Sun
Lecturer in Sensor Fusion
Cranfield University
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