ICONIC is an EPSRC project involving Imperial College (Professor Mark Girolami), the University of Manchester (Professor Nick Higham), the University of Oxford (Professor Mike Giles), and the University of Strathclyde (Professor Des Higham).
The overall objective is to quantify uncertainty in the complete pipeline for mathematical models of socio-economic phenomena in future cities. This involves bringing together and extending ideas from mathematical modeling, statistical inference, and scientific computing in order to develop rigorous and efficient uncertainty quantification tools. Several project partners are closely involved and are providing real-life data.
The research at Manchester will focus on the numerical linear algebra challenges in the project and on understanding the behaviour in finite precision arithmetic of the algorithms developed. Problems to be considered include the computation of fractional matrix powers; approximation of correlation matrices; and exploitation of different precisions of floating point available in modern processors and accelerators within iterative refinement and other algorithms. Via rounding error analysis, statistical analysis, and numerical experiments, new understanding will be developed of algorithm accuracy and efficiency.
A researcher with experience in numerical linear algebra and some relevant knowledge of statistics (for example, through uncertainty quantification or machine learning) is sought.
A key aspect of the role is to be able to work independently but also be willing to collaborate across the project team, and this will involve travel between the four institutions as well as liaison with project partners.
The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit:
The appointment is for two years with the possibility of extension.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Nick Higham
Email: nick.higham@manchester.ac.uk
General enquiries:
Email: hrservices@manchester.ac.uk
Tel: 0161 275 4499
Technical support:
Email: universityofmanchester@helpmeapply.co.uk
Tel: 01565 818 234
This vacancy will close for applications at midnight on the closing date.
