Postgraduate studentships

The membership of our postgraduate body is cosmopolitan and provides an intellectually enriching experience.  We admit students on a full-time or part-time basis for all of the University’s postgraduate courses, with a preference for research students seeking to pursue a PhD course.  Each year the postgraduate intake at Downing is about 180 students.

As a member of Downing College you will join a community which comprises approximately 380 postgraduate students, 470 undergraduates and 50 Fellows. You can discover more about life as a postgraduate student and our Middle Common Room (MCR) in Postgraduate Admissions.

If you are interested in finding out more about the opportunities we offer and taking a look at the fantastic facilities here, please register your place on the Postgraduate Open Day 2018 on Friday 2 November.

Awards and bursaries

The College also offers a number of awards and bursaries to support postgraduate students with their research.

You can find more information on awards and bursaries from the Tutorial & Admissions Office.

 

Voellm-Hruska 1

A brand new PhD studentship in Machine Learning and Critical Care

 

Closing date 10 November 2018

Applications are invited for the Voellm-Hruska 1 PhD studentship starting in April or October 2019 to work with Professor David J. Wales on a project that aims to advance machine learning (ML) methods as predictive tools with applications to clinical diagnosis.

This research involves a collaboration with Dr Ari Ercole, a clinician and physicist at Cambridge University Hospitals NHS Foundation Trust / University of Cambridge division of anaesthesia with expertise in intensive care and big data analysis for clinical data.

Machine learning (ML) methods show great promise as predictive tools in clinical diagnosis. In particular, the late identification of deteriorating patients results in treatment delays that contribute to morbidity and mortality. Current early-warning and predictive scores are implemented largely manually and are relatively crude, labour intensive and take into account only a fraction of the patient data now available in digital form. Big data from routinely collected healthcare records is a resource with enormous potential. However, making inferences from such high dimensional, heterogeneous, irregularly sampled data to help the clinician with timely and more accurate decision making is challenging.

Our project aims to advance the state-of-the-art using cutting-edge techniques developed in the context of potential energy landscapes. The overall theme is "predicting stable and deteriorating patients", which could include earlier diagnosis of sepsis and analysis of readmissions to the intensive care unit.

The closing date is 10 November 2018.  The student will be a member of Downing College.  Contact the Tutorial & Admissions Office for more information on how to apply.

More information on Professor David Wales in our Directory of Fellows.

 

Published 31 October 2018.