University of Sheffield, School of Mathematics & Statistics

Position ID: SoMaS-PDRA [#13176, UOS020573]
Position Title: Research Associate in Bayesian Models for Synthetic Trials
Position Type: Postdoctoral
Position Location: Sheffield, South Yorkshire S3 7RH, United Kingdom [map]
Subject Area: Mathematics & Statistics
Application Deadline: 2018/12/12 11:59PMhelp popup finished (2018/11/15, finished 2019/05/29, listed until 2018/12/12)
Position Description:    

*** this position has been closed. ***

Research Associate in Bayesian Models for Synthetic Trials 
School of Mathematics and Statistics, The University of Sheffield 
UOS020573 
Fixed term for 36 months 
Grade 7, £31,302 per annum 
Closing Date: 12 December 2018 

A new position is available as a Research Associate as part of the €5M, H2020 EU funded STriTuVaD project, focused on developing computational modelling techniques to provide in-silico augmented clinical trials for Tuberculosis (TB) vaccination development. The role will specifically contribute through the development of a coherent Bayesian framework combining information from Phase II clinical trials with in-silico data from a bespoke agent-based simulator of the immune system. 

You will liaise with project partners to harmonise clinical and computational data, elicit prior information and develop effective trail decision strategies. You will focus on the development of statistical models based on the mechanistic simulator which allow for uncertainty propagation through its components. This will be used to inform the clinical trials to aid in reducing its size and duration. 

Due to the complexity of the interaction of TB with the immune system, these models will be highly dimensional and state-of-the art computational techniques will be required to carry out inference, or new should be developed. As part of the project, one of the partners will implement the simulator on GPUs and a close collaboration with their team is anticipated. This is an unrivalled opportunity for you to work within a world-class research grouping addressing a problem of major and growing significance.

Travel to some project partners is anticipated, you will therefore have excellent communication and engagement skills and be capable of working with researchers and software developers from a diverse background. You will hold a PhD in a relevant discipline (or have equivalent experience), with demonstrable expertise in statistical modelling, with special emphasis on hierarchical Bayesian models. 

Please visit https://bit.ly/2PlwlQm for further details and to apply.  Applications submitted via this website will not be considered. 

Informal enquiries to Dr Miguel Juarez (m.juarez@sheffield.ac.uk) are encouraged. 

The School of Mathematics and Statistics at the University of Sheffield has a strong research ethos and an international reputation in research, with research groups in Algebra and Algebraic Geometry, Differential Geometry, Fluid Dynamics, Mathematical Biology and Environment, Number Theory, Particle Astrophysics and Gravitation, Probability, Solar Physics, Statistics, and Topology. There are also fruitful interdisciplinary links across the University.

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Contact: Alex Goode, 01142224546
Email:
Postal Mail:
Hicks Building
Hounsfield Road
Sheffield
S3 7RH
Web Page: https://bit.ly/2PlwlQm

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