This new full time post is available immediately on a 9 month fixed term basis.
Summary of the role
The University of Exeter wishes to recruit a Postdoctoral Research Associate to support the work of Dr Sareh Rowlands. The researcher will be based at the Department of Computer Science, part of the Faculty of Environment, Science and Economy at the University of Exeter. This post is funded by MRC Impact Accelerator Award, and is available immediately, for 9 months.
We are seeking a highly motivated and skilled postdoctoral researcher to join our team to work on detecting fractures and the cause using X-Ray images. The successful candidate will be responsible for conducting cutting-edge research in machine learning and computer vision applied to medical data.
Responsibilities:
- Conducting research on the development and application of machine learning algorithms and computer vision techniques to medical images (X-Ray).
- Collaborate with interdisciplinary teams to design and implement data-driven studies to detect metaphyseal fractures in the X-Ray images.
- Collaborate with interdisciplinary teams to design and implement data-driven studies to detect the cause of those fractures in the X-Ray images.
- Publish high-quality research articles in top-tier journals and conferences, and present research findings at national and international conferences.
The successful candidate will have access to state-of-the-art computing resources, a supportive interdisciplinary research environment, and opportunities for professional development and advancement.
If you are passionate about medical image-based diagnosis and the application of computer vision in medical domain, and are interested in working on cutting-edge research projects, we encourage you to apply.
About you
The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.
Essential requirements:
- PhD (or nearing completion) or equivalent qualification/experience in Computer Science, Data Science, Statistics, or related field with a strong focus on computer vision, machine learning, or related areas.
- Excellent mathematical and programming skills Python, C, Matlab, or other relevant programming languages with experience deep learning frameworks (e.g. PyTorch and TensorFlow)
- An excellent track record of publishing/presenting papers in top-tier conferences or journals in the related areas (e.g., computer vision, machine learning)
- Excellent communication and collaboration skills, with a proven ability to work effectively in interdisciplinary teams.
Desirable requirements:
- Past research in computer vision, medical image processing.
- Experience in contributing ideas for research projects and research income generation.
Please ensure you read the Job Description and Person Specification for full details of this role.
Further information
For further information please contact Dr Sareh Rowlands, email [email protected] .
Interviews are expected to take place in the third week of April.
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