James Hopgood profile picture

James Hopgood

Has grant

Professor

University of Edinburgh
Country flagUnited Kingdom

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

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)

Publisher
source

James Hopgood

University Name
.

University of Edinburgh

<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)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (6)

Qiang Wang

University of Edinburgh

UNITED KINGDOM
View details

Marta Vallejo

Associate Professor in AI/Machine Learning

Heriot-Watt University

UNITED KINGDOM
View details

Keith Brown

Heriot-Watt University

UNITED KINGDOM
View details

Bethany Mills

University of Edinburgh

UNITED KINGDOM
View details

Thomas P. S. Reynolds

-

UNITED KINGDOM
View details

Mengwei Sun

Lecturer in Sensor Fusion

Cranfield University

UNITED KINGDOM
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.