Robin Mitra
5 months ago
Statistical Science UCL (University College London) in United Kingdom
Degree Level
PhD
Field of study
Mathematics
Funding
Potential funding is available through the UCL EPSRC-DTP and will be allocated competitively. Applicants with overseas fee status are welcome to apply. No specific stipend or tuition details are provided.
Deadline
Aug 1, 2026
Country
United Kingdom
University
University College London
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Where to contact
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About this position
Funding details
Potential funding is available through the UCL EPSRC-DTP and will be allocated competitively. Applicants with overseas fee status are welcome to apply. No specific stipend or tuition details are provided.
What's required
Applicants should have a strong background in statistics and/or mathematics. Experience with programming, particularly in R, is helpful but not required. No prior experience in missing data or extremes is expected.
How to apply
Review the project details at the provided link. Prepare your application using Project ID: 2531ad1585. Email [email protected] for further information. Apply through the UCL EPSRC-DTP process.
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Professors
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Together with Dr. Emma Simpson in the Department of Statistical Science at UCL, we are looking for a PhD student to work on a project developing methods to handle missing data when modelling extremes.
Understanding extreme events is crucial in many settings, from environment to finance, and missing data present an important challenge that needs to be overcome here. The project will thus look to develop both novel methods and practical tools within this area.
There is the potential for funding through the UCL EPSRC-DTP and will be allocated competitively. Applicants with overseas fee status are also welcome to apply.
More details about the project are available at the link below. Please can you share this opportunity amongst your networks and if anyone is interested in finding out more about this opportunity please feel free to email me at [email protected]
Thank you very much!
https://lnkd.in/eFBhPGqC