We are looking for a Postdoctoral Research Assistant based at Queen Mary University London, working with Professor Ginestra Bianconi (Queen Mary) and Dr Ruben Sanchez-Garcia (University of Southampton) on the project ‘Using network science to quantify the geometry of “missingness”‘.
This is an exciting new project funded by Alan Turing Institute (https://www.turing.ac.uk/) and Roche (https://www.turing.ac.uk/research/research-projects/alan-turing-institute-roche-strategic-partnership) to generate insights into disease, patient, and outcome heterogeneity using advanced analytics.
Our project combines methods of network science and applied topology with information theory to develop a data driven mathematical and computational platform to extract and analyse the geometrical organisation of missing data in complex, heterogeneous datasets.
We are looking for candidates with, or about to obtain, a PhD degree in mathematics, physics, or computer science or an equivalent level of professional qualifications and experience. They should have research experience in a field closely related to one or more of the following subjects: network science, data science, applied topology. We expect candidates to have some coding experience (e.g. python, R, MATLAB), preferably in handling large, complex data sets, and an interest in biomedical data.
The deadline is very soon (August, 1st) with interviews shortly after. For more information, please see https://www.qmul.ac.uk/jobs/vacancies/items/7251.html