The Division of Informatics Imaging and Data Science wish to appoint a Research Associate to an exciting project developing a system to make measurements of children’s hips from digital radiographs. This is part of a collaborative project aiming to help children with Cerebral Palsy by diagnosing hip problems early.
The successful applicant will use machine learning techniques to automatically identify the outlines of bones in the hip joint and make clinically useful geometric measurements. They will perform extensive experiments to evaluate the performance of the system on clinical images. As part of a multidisciplinary team, they will work closely with clinicians, patient representatives and our partner company to prepare the system for inclusion in a software tool to be registered as a medical device.
The successful applicant will join a supportive and inclusive research environment that values collaboration, innovation, and real-world impact. They will have opportunities to contribute to impactful publications, present at conferences, and gain experience in translating research into certified medical software.
Applicants should have a strong background in machine learning, computer vision, and medical image analysis, and experience of working with clinical data and Python-based tools.
This is a unique opportunity to contribute to a project with direct clinical relevance, aiming to improve outcomes for children with Cerebral Palsy across the UK.
We welcome applications from individuals who are passionate about applying AI to healthcare and enjoy working in a collaborative, impact-driven environment.
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 you can find out more here
Hybrid working arrangements may be considered.
Please be aware that due to the number of applications we unfortunately may not able to provide individual feedback on your application.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk .
Any CV’s submitted by a recruitment agency will be considered a gift.
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.