PhD: Physics‑Informed AI for Ocean Mixing & Fracture Zones

University of Exeter; Exeter; Presencial; GBP 22.000 - 23.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

PhD stipend

EPSRC funded

Descripción de la vacante

The University of Exeter invites applications for a PhD studentship examining the physical mechanisms within fracture zones that drive ocean mixing and water-mass transformation. Using tracer observations, turbulence data, data-science methods, and MITgcm modelling, the project aims to quantify mixing-driven overturning in deep passages.

You will work with experimental and modelling data, develop AI-enabled surrogates, and contribute to improving representation of abyssal processes in climate

Responsabilidades

• Investigate physical mechanisms within fracture zones that drive ocean mixing and water-mass transformation.
• Quantify tracer dispersion and overturning transport using observations, turbulence measurements, and numerical modelling.
• Develop AI-enabled surrogates to reproduce key dynamics with lower computational cost.

Descripción del empleo

The University of Exeter invites applications for a PhD studentship examining the physical mechanisms within fracture zones that drive ocean mixing and water-mass transformation. Using tracer observations, turbulence data, data-science methods, and MITgcm modelling, the project aims to quantify mixing-driven overturning in deep passages.

You will work with experimental and modelling data, develop AI-enabled surrogates, and contribute to improving representation of abyssal processes in climate