Predicting urban particulate flows using AI-enhanced turbulence models

Eligibility: UK/EU/International graduates with the required entry requirements

Funding details: Bursary plus tuition fees (UK/EU/International)

Duration: Full-time – between three and three and a half years fixed term

Application deadline: 4pm GMT on 6 May 2021

Interview dates: Will be confirmed to shortlisted candidates

Start date: September 2021

For queries please contact Dr Humberto Medina, or telephone 02477 65 8902.


Introduction

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship within the Centre for Fluid and Complex Systems.

Project details

Increasing urbanisation of developing countries means that most communities suffer from air pollution. According to WHO, "An estimated 4.2 million premature deaths globally are linked to ambient air pollution" [1]. Tackling air quality is a complex task involving research of sources of pollution, effect of different pollutants on human health, and finding pollution mitigation solutions.

Furthermore, the recent classification of airborne particles as carcinogenic to humans (IARC Group 1 carcinogenic) by the International Agency for Research on Cancer [2] has prompted a renewed interest in gaining a better understanding of particulate matter generation and spread in cities. Therefore, city authorities and planners are showing a keen interest (UN SDP Goal 11) in having access to modelling tools that will help them make informed decisions regarding the control and reduce of particulates from a range of sources (vehicle emissions, car and bicycle tyres, manufacturing, etc.).

Currently, predictive tools for particulate flows cannot be readily used at city-scales to help inform planning decision. Meso-scale models exist but are inherently computationally costly. This project will develop a new modelling technology for multi-scale prediction of particulate flow distributions using cost-efficient state-of-the-art turbulence models (developed at Coventry University) enhanced within an artificial intelligence framework.

Footnotes

[1] World Health Organisation
[2] International Agency for Research on Cancer

Funding 

This is a fully-funded studentship including full tuition fees (UK/EU/International) plus stipend (based upon the applicable UKRI rate at the point of the award).

Benefits

Training and Development

The successful candidate will receive comprehensive research training including technical, personal and professional skills.

All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities. 

Entry requirements

  • A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average. 
    PLUS 
    the potential to engage in innovative research and to complete the PhD within a 3.5 years
  • a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)
Additionally
  • Strong analytical skills
  • A strong understanding of fluid mechanics
  • Experience using Python for engineering applications (desirable)

How to apply

To find out more about the project please contact Dr Humberto Medina.

All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project.

Apply to Coventry University

GCRF PhD Studentships

This is a GCRF fully-funded PhD studentship.

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