Ulster University
Research Assistant in Medical Image Analysis
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Job Title: Research Assistant in Medical Image Analysis
Department/School: School of Engineering
Campus: Belfast (Remote working within the UK may also be considered)
Salary: £33,020 per annum
Duration: Fixed-Term for 5 months / Full-time
Closing Date: 26th August 2026 at 23:30
Reference Number: 043366
ABOUT US
We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland.
Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer.
THE ROLE
The postholder will contribute to the anatomical modelling of the trachea and oesophagus using a large dataset of CT scans. The role focuses on medical image processing and image segmentation to isolate these structures and identify key anatomical landmarks. The postholder will develop predictive models to estimate key internal features based on simple clinical parameters such as height, gender, and age. Additionally, they will construct Statistical Shape Models to predict 3D morphological variations from these same clinical parameters.
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The work supports a broader understanding of patient-specific anatomy, using machine learning techniques to capture population-wide variance. This position offers the opportunity to work with large-scale clinical data and develop expertise in medical image analysis.
Due to the short-term nature of this post, the successful candidate must be available to commence immediately and will be required to hold proof of right to work in the UK at the time of application and for the duration of the post.
We may create a 12-month waiting list for same or similar roles within the Department / Faculty. The University reserves the right to extend the waiting list across the University if required for certain posts.
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ABOUT YOU
The postholder will be required to have:
- Hold a PhD (awarded or near completion with thesis submitted) in Engineering, Mathematics, Physics, Statistics or a closely related discipline.
- Experience in statistical analysis software (e.g., R).
- Proficiency in the development of large-scale data analysis pipelines.
Please find our employee benefits on our website.
Athena Swan Statement
The School of Engineering holds a Silver Athena SWAN Award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working.
The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.
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