Research AssociateResearch Associate in the Development of Data-Driven Tomographic Image Reconstruction for Low-Dose CT (Fixed Term)
A position exists for a Research Associate (RA) position at the University of Cambridge to work on a project entitled ‘Revolutionizing Medical Imaging (ReImagine) through Ubiquitous, Low-Dose, Automated Computed Tomography Diagnostic Systems’ funded through the EPSRC Transformative Healthcare Technologies scheme in the Department of Applied Mathematics and Theoretical Physics.
This exciting project brings together the expertise in the groups of Prof. Carola-Bibiane Schönlieb , Dr. Sam Stranks, Dr. David Fairen-Jimenez, Prof. Evis, Dr Sarah Bugby, Prof. John Lees, Prof. Joost Batenburg, together with industry partners GE Research, Scintacor, Cheyney Design, and Immaterial.
We are looking for a highly motivated and enthusiastic RA to drive the development of AI based image reconstruction and diagnosis from low-dose tomographic imaging data. The successful applicant will join the Cambridge Image Analysis group (http://www.damtp.cam.ac.uk/research/cia/ ) and work closely with the other RAs, investigators and partners on the project.
You will have obtained (or be close to obtaining) a Ph.D. in Mathematics or a closely related area. The ideal candidate will be experienced in one or more of the following areas: inverse problems, mathematical imaging, optimisation, deep learning, medical image analysis.
A proven track record of scientific publication and presentation at international conferences is essential. In addition to working independently, the successful candidate should also work well in a team and help to promote a collaborative environment across the group and project team. Excellent communication, organisational and problem-solving skills, as well as willingness to achieve specific and ambitious milestones, are required. Experience in programming is essential (e.g. MATLAB / Python, Tensorflow/PyTorch).
A complementary RA post is available in the Department of Chemical Engineering and Biotechnology, University of Cambridge, to develop the x-ray detectors. Both RAs will coordinate closely to attain the project goals including through project meetings involving project partners – https://www.jobs.cam.ac.uk/job/30819/
Informal inquiries can be made by contacting LE27686@maths.cam.ac.uk
Please indicate the contact details of two academic referees on the online application form and upload a full curriculum vitae and a description of your recent research (not to exceed three pages). Please ensure that at least one of your referees is contactable at any time during the selection process.
Limit of tenure: 1 year
Start Date: 1 January 2022 or as soon as possible after.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our Department.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.