Back to search results

PhD Studentship: Estimating the Economic Impact of Mental Health Effects Due to Flooding Using Advanced Bayesian Machine Learning Methods

Coventry University - Centre for Computational Science and Mathematical Modelling

Qualification Type: PhD
Location: Coventry
Funding for: UK Students, EU Students, International Students
Funding amount: Fully Funded with Stipend
Hours: Full Time
Placed On: 20th February 2023
Closes: 27th May 2023

Coventry University (CU) is inviting applications from suitably qualified graduates for a fully funded PhD studentship. This research project is funded by the University Alliance Doctoral Training Alliance – Future Societies programme. 

Flooding has been identified as one of the most important climate change adaptation challenges that the UK is being faced, according to the latest UK Climate Change Risk Assessment report. It was further reported that most of the health burden associated with flooding is due to the impacts of flooding on mental health and wellbeing, ranging from anxiety, depression, to post-traumatic stress disorder, which their impacts be very significant and long-lasting. The aim of this project is to estimate the economic impact attributable to mental health morbidity caused following exposure to or disruption from flooding. In this project, flood impacts on people’s mental health will be modelled using appropriate probabilistic machine learning method (e.g., Bayesian network, Gaussian process) to the existing data and calibrating based on the Experts’ opinions/Meta-analysis results. The proposed health economic framework would improve our understanding of the factors affecting people’s mental health and provide an efficient way to calculate the costs/benefits of various proposed health interventions and environmental adaptations. The health economic framework developed in this research would be very helpful to inform health policy and decision making and the development and evaluation of cost-effective interventions to protect people’s mental health and wellbeing, particularly among vulnerable people.  

Entry criteria for applicants to PhD  

  • The requirement for admission to this PhD studentship is a minimum of a 2:1 first degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable. 

PLUS  

  • the potential to engage in innovative research and to complete the PhD within 3.5 years
  • An adequate proficiency in English must be demonstrated by applicants whose first language is not English.  The general requirement is a minimum overall IELTS Academic score of 7.0 with a minimum of 6.5 in each of the four sections, or the TOEFL iBT test with a minimum overall score of 95 with a minimum of 21 in each of the four sections.

Additional requirements  

  • Competent programming skills (in Python or R) 
  • Experienced in Bayesian statistics, machine learning and health economic, and enthusiastic to work on an inter-disciplinary research project.

For further details please visit:  https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/research-entry-criteria/ 

https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/ 

To find out more about the project please contact Dr Alireza Daneshkhah – ac5916@coventry.ac.uk

The PGR+ Link for this project is: 

https://pgrplus.coventry.ac.uk/studentships/mpcs-estimating-the-economic-impact-of-mental-health-effects-due-to-flooding-using-advanced-bayesian-machine-learning-methods

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

PhD tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
 
More PhDs from Coventry University

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge