Location: | Newcastle upon Tyne |
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Salary: | £34,866 to £45,163 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 1st November 2024 |
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Closes: | 22nd November 2024 |
Job Ref: | 27726 |
Company description:
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
Job description:
The Role
Do you have a passion for leveraging cutting-edge AI techniques to improve healthcare? Are you highly skilled in machine learning and keen to develop and use your expertise, working in an interdisciplinary team with multi-modal data? If yes, we want someone like you for the role of post-doctoral research associate on EYESAVE: AI-enabled triage for Glaucoma, a new project led by Newcastle University, funded by the Dunhill Medical Trust.
Glaucoma is the leading cause of irreversible blindness worldwide, and the damage it causes at first goes unnoticed in many people. Your role is to apply AI to develop new software that forecasts disease progression for patients with suspected glaucoma. The software will draw from historic longitudinal data from thousands of glaucoma patients, including optical coherence tomography (OCT) retinal images, objective measurements, and interventions.
You will work as the primary postdoctoral research associate, within a highly collaborative team including computer scientists, bioengineers, informaticians, neuroscientists, ophthalmologists, and epidemiologists, working across Newcastle University, Durham University, and local NHS hospitals.
Your contributions will include curating multi-modal datasets, designing AI methods for information fusion and risk stratification, and devising interpretable visualisations of the AI's decision-making process. You will take part in regular project meetings, present and discuss results, and help guide the research direction and decisions. You will contribute to publications, conference presentations, as well as, where appropriate, help supervise Masters and doctoral students working on related projects with the team.
This project builds on the OCTAHEDRON and OCTage projects (OCTAHEDRON | OCTAHEDRON | Newcastle University (ncl.ac.uk)), and interacts with other projects underway within our active and successful AI in the Eye research group, linking clinicians, academics, patients, and practitioners, across levels from trainee to senior investigator. We are proud to promote career development and specialist training for all members of the team.
In this full-time role, you will be based at our Newcastle upon Tyne campus that has excellent transport links and state of the art facilities. You will have working space and resources in both the Biosciences Institute in the Faculty of Medical Sciences and the School of Computing at Newcastle Helix. We are happy to discuss flexible working needs with you.
Fixed term post to: 05.01.2028.
To apply for the position, please send us a CV together with a covering letter outlining why you are interested in the role and giving examples to illustrate how you meet the essential criteria outlined within the Knowledge, skills, and experience in the job description.
Please contact Professor Anya Hurlbert (anya.hurlbert@ncl.ac.uk) or Professor Jaume Bacardit (Jaume.Bacardit@ncl.ac.uk) for informal enquiries.
Find out more about the Faculty of Medical Sciences: https://www.ncl.ac.uk/medical-sciences/
Find out more about our Research Institutes: https://www.ncl.ac.uk/medical-sciences/research/institutes/
Find out more about the School of Computing: https://www.ncl.ac.uk/computing
As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.
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