About the role This post is part of a broader medical image analysis project trying to improve quantification of early lung damage in high risk subjects.
The subjects being investigated for early lung damage are smokers and between the ages of 55-80 who qualify for lung imaging using computed tomography.
They will undergo repeated lung imaging at yearly intervals to identify and quantify early and mild lung damage and their progression.
The computational flow modeling will allow delineation of a functional component to their lung damage, to compliment imaging based measures of disease severity and progression.
Given that several thousand subjects have such imaging, we aim to develop efficient scalable methods that allow high-throughput inference at speed.
The post is funded until 31st January in the first instance by the Chan Zuckerberg Initiative and will be subject to standard probation and appraisal procedures.
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £38, - £41, per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Salary range at grade 7 for this role is £43, - £44, If you have any queries regarding the vacancy or the application process, please contact Dr Joseph Jacob About you The postholder will develop a machine learning framework aimed at predicting airflow and blood flow, underpinned by a carefully designed series of computational fluid dynamics (CFD) simulations to train the models effectively.
They will collaborate closely with the experimental team to ensure that these models are validated and accurately reflect real-world conditions.
Engagement with the public and patients is also a key aspect of the role, requiring the postholder to initiate, participate in, or lead various outreach activities.
Flexibility is essential, as they may need to work outside standard hours to accommodate clinical measurement schedules, typically occurring four to six times per year.
Additional responsibilities include contributing to research reports, attending seminars, assisting with tutorials, and supporting affiliated centres and institutes through public engagement and collaborative activities.
The postholder is also expected to publish research outputs as aligned with their personal objectives and undertake other tasks, such as teaching, as directed by their line manager.
What we offer 41 Days holiday: 27 days annual leave 8 bank holiday and 6 closure days (pro rata for part time staff)Additional 5 days' annual leave purchase scheme (pro rata for part time staff)Cycle to work scheme and season ticket loanRelocation scheme for certain postsOn-Site nursery Enhanced maternity, paternity and adoption payEmployee assistance programme: Staff Support ServiceDiscounted medical insurance