PhD Studentship: AI & EVT for Extreme Rainfall Futures

University of Birmingham; Birmingham; Presencial; GBP 18.000 - 20.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stipend funded by grant

Tuition fees covered

Research Training Support Grant

Descripción de la vacante

The University of Birmingham invites applications for a PhD project that combines AI and Extreme Value Theory to estimate rare precipitation events under future climate conditions. You will work with reanalysis data and hindcast ensembles using Python and related tools.

The project, funded by NERC CENTA3 DLA, covers stipend, tuition fees at home rate, and a Research Training Support Grant; suitable for students with strong computational backgrounds in Computer Science, Meteorology, Physics, or

Formación

• 2:1 at UK BSc level or MSc level or equivalent.
• Experience coding in Python or similar (e.g. R, Matlab).
• International students eligible for funding up to 30% of cohort; English language requirements apply.

Responsabilidades

• Develop AI- and EVT-based methods for estimating rare extreme rainfall events.
• Test approaches on reanalyses and hindcast ensembles.
• Work with climate data to quantify regional extreme-rainfall distributions under different warming levels.

Conocimientos

Python

AI

EVT theory

Educación

UK 2:1 / MSc equivalent

Herramientas

R

MATLAB

Descripción del empleo

The University of Birmingham invites applications for a PhD project that combines AI and Extreme Value Theory to estimate rare precipitation events under future climate conditions. You will work with reanalysis data and hindcast ensembles using Python and related tools.

The project, funded by NERC CENTA3 DLA, covers stipend, tuition fees at home rate, and a Research Training Support Grant; suitable for students with strong computational backgrounds in Computer Science, Meteorology, Physics, or