The Data Science Research Centre (DSRC) is based in the University’s STEM Centre at Markeaton Street. It features high-performance computing facilities and a state-of-the-art Data Visualisation Laboratory. The centre aims to play a leading role in the region and nationally in research and development, teaching and training.
Our aims are:
- To communicate the value data science can bring to organisational decisions through seminars, newsletters and international events such as conferences and workshops to local, national and international organisations and communities
- To build strong relationships with industry, government and local communities to develop data science research and development
- To develop impactful research that can improve businesses, the health and wellbeing of individuals and communities and decision making
- To champion high-quality education and training opportunities for undergraduate, postgraduate and Continuing Professional Development (CPD) programmes to support local and national industries, organisations and communities
About the Role
We are seeking to appoint a Senior Researcher to contribute to the development of AI models for ultrasound video analysis and thrombus prediction as part of the Horizon Europe ThrombUS+ project.
ThrombUS+ is developing a wearable, point-of-care system for continuous monitoring, risk estimation, and prevention of Deep Vein Thrombosis. The University of Derby’s role focuses on AI model development for automated analysis of ultrasound data, including ultrasound image/video segmentation, vascular structure detection, vein compressibility analysis, and thrombus/DVT prediction.
In this role, you will work with the project team to design, implement, evaluate, and document AI models that can support automated DVT detection and clinical decision support using ultrasound video and related biomedical data.
This is a fixed term contract until 30th June 2027.
Anticipated interview date: Thursday 1st October 2026
About You
We are looking for a motivated researcher with strong skills in artificial intelligence, machine learning, deep learning, and computer vision, with the ability to apply these methods to ultrasound image/video analysis and biomedical data. You should have a PhD, or be close to completing a PhD, in Computer Science, AI, Data Science, Medical Imaging, Biomedical Engineering, Electronic Engineering, or a closely related discipline.
You will need strong Python programming skills and experience with at least one major deep learning framework such as PyTorch, TensorFlow, Keras, MONAI, or similar. Experience in image analysis, video analysis, medical imaging, biomedical data analysis, model training, validation, testing, and performance evaluation is essential.
The non-negotiable requirements are strong machine learning/deep learning knowledge, good Python programming ability, experience in AI-based image/video or biomedical data analysis, and the ability to work independently within a multidisciplinary research team. Experience in two or more of ultrasound analysis, medical image segmentation, detection, tracking, thrombus/DVT research, explainable AI, or real-time/edge AI deployment would be highly beneficial.
Key Contact
For further information and informal enquiries regarding the role, please contact Dr Harry Yu, Associate Professor in Data Science via
For enquiries regarding your application and for sponsorship eligibility, please contact the recruitment team via
Important Information
The University is unable to sponsor the employment of international workers under the Skilled Worker route for this role; however, applications are welcome from candidates who are able to demonstrate an alternative right to work in the UK.
Please visit ourwebsite for more information.
For more information and to apply on-line, please click the “Apply” button above.
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