Medical Ultrasound jobs in Derbyshire

About the University

Here at the University of Derby, the College of Science and Engineering is the home of STEM: the skills that are essential to the UK’s Industrial Strategy. From digitisation to decarbonisation, we have an important role to play in shaping the future. And by researching or collaborating with us, you can too.

The College brings together a powerful combination of scientific expertise, technological innovation, and creative practice. With disciplines spanning computing, AI, data science, engineering, environmental sciences, built environments and psychology - we are uniquely positioned to solve real-world challenges through interdisciplinary collaboration.

Our courses are designed with employability and future industry needs in mind, supported by cutting-edge facilities, strong employer partnerships, and a commitment to sustainability. Through applied research and hands-on learning, we equip students and staff to drive progress in areas that matter most; from smart technology to clean energy, advanced manufacturing to immersive design.

School of Computing

This is an exciting time in Computing, Artificial Intelligence and Data Science at the University of Derby. Building on recent Research Excellence Framework (REF) success, our school has ambitions to become leaders in these areas. In the last ten years, we’ve invested heavily in our facilities, including a £13m STEM centre. We aspire to be at the forefront of teaching and research around topics such as machine learning, artificial intelligence, the Internet of Things and complex networks. Our Data Science Research Centre will play a key role in this.

Our engagement with global industries based in the Derby region, for example through our East Midlands Institute of Technology, helps ensure that our research and teaching are at the forefront of emerging industry needs and opportunities. Our links with companies in our region including Bloc Digital, Rolls-Royce and Alstom, also mean our students benefit from placement years and live briefs.

Data Science Research Centre

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.

The Data Science Research Centre evolves around all aspects of data and is composed of four interconnected clusters. We work closely with our partners in the industry in areas that include rail, manufacturing, biomedical and the environment. 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

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

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.

Research/Scholarship

Teaching/Learning

Leadership/Management

Other

• Generous annual leave entitlement of 47 days inclusive of bank holidays and concessionary days (pro rata)
• Teacher’s Pension Scheme
• Suite of holistic wellbeing benefits and support including family-friendly policies, generous sick pay provision and comprehensive Employee Assistance Programme
• Access to a variety of staff discounts at high street retailers
• Discounted onsite gym
• Cycle to Work scheme
• A flexible working environment
• A commitment to personal and professional development

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.

The University of Derby is committed to fostering an open, inclusive and diverse community where everyone is treated with dignity, fairness and respect. We are committed to advancing equity, diversity and inclusion regardless of age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief (or none), sex or sexual orientation.

As a Disability Confident employer, we are committed to inclusive recruitment and welcome requests for adjustments throughout the recruitment process. Applicants may choose their preferred title, including 'Mx', and may share preferred pronouns if they wish. We also use anonymised shortlisting to help reduce the potential impact of unconscious bias. For more information on equity, diversity and inclusion at the University of Derby, please visit our website.

We are also committed to promoting academic freedom and freedom of speech and expression within the law, in line with our Code of Practice, and value diversity of thought alongside diversity of backgrounds and experiences.

However you identify, we welcome applications from people whose experiences, perspectives and talents will contribute to our inclusive, supportive and intellectually vibrant community.

At the University of Derby, we are passionate about embedding sustainability into everything that we do. We aim to bring environmental sustainability into all aspects of the University, including teaching, research and operational activities. In line with the University's strategic framework, we expect all our staff to embed sustainability into their working practices and support the University's objective to reach net zero carbon by 2050.