|Salary:||£35,965 to £43,470 Per annum, inclusive of London Allowance (Grade 7)|
|Placed On:||1st October 2020|
|Closes:||1st November 2020|
CHIMERA is a multidisciplinary Hub which brings together experts in mathematics, statistics, data science and machine learning, with unique, high volume and rich vital signs data sets from both adult and paediatric Intensive Care Units through Project Partnerships with Great Ormond Street Hospital (GOSH) and University College London Hospital (UCLH).
The Research Fellow will undertake research in machine learning approaches to biophysical modelling, including learned differential equation methods, time-series models and recurrent neural networks. The project will involve detailed mathematical and computation development and the successful applicant will work closely with the clinical teams to ensure that translation to real applications will be realised.
The funding duration for this post is for 18 months.
Applicants must hold, or be about to receive, a PhD in computer science, mathematics, physics, or a closely related field in engineering sciences. Good programming skills in a high-level language e.g. C, C++, Python and interest in biophysical models and time-series methods.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
If you have any queries regarding the vacancy or the application process, please contact Prof Simon Arridge by email email@example.com.
UCL Taking Action for Equality
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
Type / Role: