Research Associate: Automating Measurements of Children's Hips from Radiographs
The University of Manchester, Manchester, Manchester, M13 9PL. £37,694 to £46,049 per annum, depending on relevant experience. Contract. NEW.
The Division of Informatics Imaging and Data Science wishes to appoint a Research Associate for an exciting project that develops a system to automatically measure children’s hips from digital radiographs. This work supports a collaborative effort to help children with Cerebral Palsy by diagnosing hip problems early.
The successful candidate will use machine learning techniques to automatically identify the outlines of bones in the hip joint and compute clinically useful geometric measurements. They will perform extensive experiments to evaluate the performance of the system on clinical images and work closely with clinicians, patient representatives and our partner company to prepare the system for inclusion in a software tool that will be registered as a medical device.
They will be part of a multidisciplinary team in a supportive and inclusive research environment that values collaboration, innovation and real‑world impact. Opportunities to contribute to impactful publications, present at conferences and gain experience translating research into certified medical software will be available.
Applicants should have a strong background in machine learning, computer vision and medical image analysis, and experience working with clinical data and Python‑based tools.
What you will get in return:
* Fantastic market‑leading pension scheme
* Excellent employee health and wellbeing services, including an Employee Assistance Programme
* Exceptional starting annual leave entitlement, plus bank holidays
* Additional paid closure over the Christmas period
* Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working. Hybrid working arrangements may be considered.
Hybrid working arrangements may be considered. Please be aware that due to the number of applications we unfortunately may not be able to provide individual feedback on your application.
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof Tim Cootes
Email: t.cootes@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
0161 850 2004
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
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