Postgraduate research opportunities

Efficient multifidelity data-informed models for urban air quality

The student will be part of a project which addresses the challenge of modelling one of the most important environmental problems currently affecting people's health, urban air pollution.

Number of places

1

Funding

Home fee, Stipend

Opens

14 May 2020

Deadline

31 May 2020

Duration

3 years

Eligibility

Applicants should have, or be expecting to obtain in the near future, a first class or good 2.1 honours degree (or equivalent) in mathematics, engineering or a mathematical science. The studentship is available for UK/EU candidates subject to specific eligibility criteria (see, e.g., https://www.strath.ac.uk/studywithus/scholarships/strathclyderesearchstudentshipscheme-studentexcellenceawardsepsrc/).

Project Details

A fully-funded three year PhD studentship is available, starting on or after 1st October 2020. The research will be undertaken within the Numerical Analysis group in the Department of Mathematics and Statistics at the University of Strathclyde, supervised by Professor John Mackenzie and Dr Alison Ramage. Please see http://www.mathstat.strath.ac.uk/research/groups/nasc for details of the group's research.

The student will be part of a project which addresses the challenge of modelling one of the most important environmental problems currently affecting people's health, urban air Although it is well established that urban air quality can be modelled mathematically using partial differential equations, the inclusion of uncertainty propagation for this class of models requires multiple model evaluations with many different inputs, leading to excessive computational demands if only a high-fidelity model is used.  There is therefore a pressing need for models which combine such techniques with reduced order approaches and parameter estimation informed by observational data sets.

The aim of this project is to develop such multifidelity methods to accelerate the solution of uncertainty propagation by combining techniques from mathematical modelling, statistics, linear algebra and data science. The project will place the student at the forefront of research in numerical methods, and provide an excellent opportunity to develop skills working at the interface between applied mathematics, engineering and industry.

 

Funding Details

The studentship is available for UK/EU candidates subject to specific eligibility criteria (see, e.g., https://www.strath.ac.uk/studywithus/scholarships/strathclyderesearchstudentshipscheme-studentexcellenceawardsepsrc/).

In addition to the payment of fees (UK/EU) for the duration of the project (3 years), the award includes provision for a student maintenance grant at the standard rate (£15,285 GBP for the first year of study, the level will be reviewed annually).

 

Further information

Applicants should have, or be expecting to obtain in the near future, a first class or good 2.1 honours degree (or equivalent) in mathematics, engineering or a mathematical science. The studentship is available for UK/EU candidates subject to specific eligibility criteria (see, e.g., https://www.strath.ac.uk/studywithus/scholarships/strathclyderesearchstudentshipscheme-studentexcellenceawardsepsrc/).

In addition to the payment of fees (UK/EU) for the duration of the project (3 years), the award includes provision for a student maintenance grant at the standard rate (£15,285 GBP for the first year of study, the level will be reviewed annually).

 

Contact us

Informal enquiries should be addressed to Professor John Mackenzie [+44 (0)141 5483668, j.a.mackenzie@strath.ac.uk].

How to apply

Details of how to apply can be found at https://www.strath.ac.uk/courses/research/mathematicsstatistics/#apply.

The closing date for applications is 31st May 2020.