Phil Symonds
6 days ago
UCL EPSRC Doctoral Landscape Award (UELA) Studentships
Fully Funded PhD in Bayesian Statistics, Machine Learning and Net-Zero Housing at UCL University College London in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD opportunity is described as fully funded through a UCL EPSRC Doctoral Landscape Award (UELA) Studentship. No stipend amount or detailed tuition and fee coverage information is provided.
Country
United Kingdom
University
University College London
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Keywords
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About this position
University College London (UCL) is offering a fully funded PhD opportunity for Home applicants at the Bartlett School of Environment, Energy and Resources. The project applies Bayesian statistics and machine learning to fuel poverty and net-zero housing.
The research will develop innovative methods to identify retrofit need at the building level using large-scale housing data. It will combine machine learning, building simulation and spatial Bayesian modelling to support evidence-based housing retrofit and decarbonisation decisions.
The PhD will be supervised by Phil Symonds, Giorgos Petrou and Zaid Chalabi. Applicants should note that the post explicitly limits eligibility to Home applicants. Funding is provided through the UCL EPSRC Doctoral Landscape Award (UELA) Studentships and is described as fully funded, although no stipend amount or detailed fee coverage is stated.
Interested candidates should consult the UCL studentship information and submit an application through the provided link.
Funding details
The PhD opportunity is described as fully funded through a UCL EPSRC Doctoral Landscape Award (UELA) Studentship. No stipend amount or detailed tuition and fee coverage information is provided.
What's required
Applicants must be Home applicants only. The post does not specify additional degree, skills, academic performance, or language-test requirements.
How to apply
Review the UCL EPSRC Doctoral Landscape Award (UELA) Studentships information and apply through the linked UCL application page: https://lnkd.in/ef3pKKUk. Eligibility is restricted to Home applicants.
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Professors
Associate Professor
United Kingdom
Research Interests
Statistics
Bayesian Statistics
Environmental Science
Urban Planning
Computer Science
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Prepare your application
Review drafts and confirm requirements with the provider.