PhD in Bias-Aware Data Assimilation for Fluids

Imperial Enterprise; Greater London; Presencial; GBP 21.000 - 26.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Full tuition fees

Tax-free stipend £23,805 per year

3.5-year funding

Descripción de la vacante

Imperial College London’s Department of Aeronautics invites applications for a fully-funded PhD studentship to develop bias-aware data assimilation methods that learn from data while respecting physics. The project will output a model that updates as measurements are assimilated, with low-order dyn systems and scaling to higher-dimensional multi-physics problems.

The studentship lasts 3.5 years with full tuition fees and a tax-free stipend.

Formación

• First class honours MEng/MSci or higher in Aeronautics, Mechanical Engineering, Mathematics, Statistics or Physics.
• Background in computational physics, data assimilation, or dynamical systems is advantageous.
• Applicants from all backgrounds are welcome.

Responsabilidades

• Develop bias-aware data assimilation methods embedded in physics-based models.
• Learn from measurements while preserving governing physics.
• Scale methods from low-order to higher-dimensional multi-physics problems.

Conocimientos

Data assimilation

Multi-physics

Computational mathematics

Educación

First class honours MEng/MSci or higher

Descripción del empleo

Imperial College London’s Department of Aeronautics invites applications for a fully-funded PhD studentship to develop bias-aware data assimilation methods that learn from data while respecting physics. The project will output a model that updates as measurements are assimilated, with low-order dyn systems and scaling to higher-dimensional multi-physics problems.

The studentship lasts 3.5 years with full tuition fees and a tax-free stipend.