Research Fellow in Parameter Inference and Uncertainty Quantification for Healthcare
The University of Exeter

College of Engineering, Mathematics and Physical Sciences

Closing date: 17th November 2015

The College of Engineering, Mathematics and Physical Sciences brings together the excellent teaching and research of these complementary specialisms. Scientists within the College are active in internationally recognised research across the disciplines playing a pivotal role in all five key interdisciplinary research themes within the University's Science Strategy: climate change and sustainable futures , extrasolar planets , functional materials , systems biology and translational medicine. Further, members of the College have played a key role in developing the research strategy for the 52.5 million pound Living Systems Institute scheduled to open in Autumn 2016.

The successful candidate will join the recently funded EPSRC Centre for Predictive Modelling in Healthcare, a 2 million pound award which brings together outstanding scientists from our Systems Biomedicine, Dynamics Systems and Statistical Sciences research groups. With an additional 3 million pounds in research funding, the interface between mathematics, computer science and healthcare is one of the most rapidly expanding areas within the University, and the successful candidate will join a research team currently consisting of 14 PDRAs and 10 PhD students, where they will be collocated with researchers from the Wellcome Trust ISSF funded Centre for Biomedical Modelling and Analysis, housed in our state of the art Research Innovation Learning and Development (RILD) building.

The successful candidate will work with Professor Peter Challenor and Dr Marc Goodfellow on the project "Data-Model Fusion and Uncertainty Quantification". The role is available from 01 January 2016, or a mutually agreeable date very soon thereafter, for a period of 36 months. Individuals who successfully secure external Fellowship funding during their appointment will be further considered for a proleptic appointment.

The primary focus of the project will be on techniques to develop Bayesian emulators for efficient experimental design and techniques to estimate model structure and parameters from data. These methods will be developed, in collaboration with the candidate, within the Centre with a view to novel healthcare applications, for example in cardiac arrhythmias, neurological disorders or endocrine malfunction. The successful candidate will have a strong background in all or most of: Gaussian processes, uncertainty quantification, machine learning, methods for model parameter inference from data and constructing mathematical models of biological or clinical data, and have a demonstrable interest in interdisciplinary collaboration. Applicants should hold, or be about to obtain, a PhD in mathematics, physics or a related discipline.

Exceptional communication skills are critical, as the successful candidate will work in an interdisciplinary team and will need to present information on research progress and outcomes, as well as having the ability to communicate both verbally and in writing complex information. Additionally the successful candidate will have a demonstrable ability to write up scientific findings in a timely and succinct way for publication.

For further information please contact the Centre Director Professor John Terry, e-mail or telephone (01392) 725274.

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