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Research Fellow in Computational Fluid Dynamics & Machine Learning

UCL - Computer Science (CS)

Location: London
Salary: £43,124 to £44,230
Hours: Full Time
Contract Type: Permanent
Placed On: 20th January 2025
Closes: 4th February 2025
Job Ref: B04-05812

About us

UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England.

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 2027 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 upo n having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £38,357 - £41,005 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 £43,124 - £44,230

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 align ed 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 loan
  • Relocation scheme for certain posts
  • On-Site nursery Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

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