Research Fellow in Computational Fluid Dynamics & Machine Learning

at  University College London

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate06 Mar, 2025GBP 44230 Annual22 Jan, 2025N/AGood communication skillsNoNo
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Description:

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.

Responsibilities:

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 upon 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 j.jacob@ucl.ac.uk


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Hospital/Health Care

Pharma / Biotech / Healthcare / Medical / R&D

Health Care

Graduate

Proficient

1

London, United Kingdom