Estimating the Economic impact of Mental Health effects due to Flooding using Advanced Bayesian Machine Learning methods
Eligibility: UK graduates with the required entry requirements
Funding details: Bursary plus tuition fees
Duration: Full time - between three and three and a half years fixed term
Application deadline: 27 May 2023
Interview dates: Will be confirmed to shortlisted candidates
Start date: September 2023
To find out more about the project, please contact Dr Alireza Daneshkhah.
Project details
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.
Funding
Tuition fees and stipend.
Benefits
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.
Candidate specification
- A bachelor’s (honours) degree in a relevant discipline/subject area with a minimum classification of 2:1 and a minimum mark of 60% in the project element (or equivalent), or an equivalent award from an overseas institution.
- 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.
How to apply
All applications require a covering letter and a 2000-word supporting statement is required showing how the applicant’s expertise and interests are relevant to the project.
To find out more about the project please contact Dr Alireza Daneshkhah.
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