Publisher
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Dr QM Men

Top university

1 year ago

Multimodal AI for Healthcare Data Analysis University of Bristol in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United Kingdom

University

University of Bristol

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Keywords

Computer Science
Data Science
Biomedical Engineering
Medical Imaging
Artificial Intelligence
Human-computer Interaction
Computer Vision
Wearable Technology
Clinical Informatics
Healthcare Delivery
Computer-aided Diagnosis
Human Activity Recognition
Technical Engineering
Robotics

About this position

The project:

We are seeking a motivated PhD student to join our research team, working on the development of multimodal AI methods for advanced healthcare data analysis. The project will focus on leveraging and integrating various types of imaging data to improve disease monitoring and diagnostic capabilities, with specific applications in monitoring Parkinson’s disease and aiding in computer-assisted diagnosis. The objective is to develop robust, multimodal AI systems tailored for healthcare applications, utilizing diverse data sources to improve patient monitoring, diagnosis, and disease management. The framework will apply computer vision techniques to multimodal data, specifically targeting two key areas: human action and mobility assessment and medical image analysis. 1) Human Pose Estimation and Action Understanding: Utilizing RGB images, video data, 3D skeletal information, and wearable sensors to enable human action analysis. The goal is to develop robust AI models that interpret human movements across various human-centred informatics, with a specific emphasis on indoor monitoring for Parkinson's disease patients and individuals with mobility difficulties. 2) Medical Image Analysis for Disease Diagnosis: developing AI-driven methods for analyzing the robustness of various medical imaging modalities, such as CT, MRI, and ultrasound. The goal is to support radiologists and clinicians in identifying and diagnosing diseases with greater efficiency and accuracy, thereby enhancing confidence in their assessments.

Candidate requirements:

Applicants must hold/achieve a minimum of a merit at master’s degree level (or international equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree.

If English is not your first language, you need to meet this profile level: Profile E

Further information about English language requirements and profile levels .

Contacts:

For questions about the research topic, please contact the project supervisor.

For questions about eligibility and the application process please contact Engineering Postgraduate Research Admissions

How to apply:

Prior to submitting an online application, you will need to contact the project supervisor to discuss.

Online applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select Engineering Mathematics (PhD) on the Programme Choice page. You will be prompted to enter details of any studentship you would like to be considered for in the Funding and Research Details sections of the form.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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