PhD: SWOT-Driven Ocean Modeling & ML Surrogates

Technical University of Denmark; Kongens Lyngby; Híbrido; DKK 320.000 - 420.000; Jornada completa

Descripción de la vacante

DTU Space at the Technical University of Denmark invites applications for a PhD focused on assimilating SWOT observations into a high-resolution ocean model for Polar Regions. The project will develop surrogate models using scientific machine learning to reduce simulation costs and enable rapid exploration of ocean processes.

The successful candidate has a background in ocean modelling and remote sensing, ideally with satellite altimetry experience and familiarity with MITgcm.

Formación

• Background in ocean modelling and remote sensing.
• Experience with satellite altimetry and ocean modelling frameworks is desirable.
• Strong mathematical and programming skills for ML surrogate modelling.

Responsabilidades

• Assimilate SWOT observations into a high-resolution ocean model.
• Develop surrogate models using scientific machine learning to reduce computational cost.
• Collaborate with SWOT researchers and international partners; participate in research travel.

Conocimientos

Ocean modelling

Remote sensing

Satellite altimetry

Educación

Two-year master's degree (120 ECTS) or equivalent

Herramientas

MITgcm

Descripción del empleo

DTU Space at the Technical University of Denmark invites applications for a PhD focused on assimilating SWOT observations into a high-resolution ocean model for Polar Regions. The project will develop surrogate models using scientific machine learning to reduce simulation costs and enable rapid exploration of ocean processes.

The successful candidate has a background in ocean modelling and remote sensing, ideally with satellite altimetry experience and familiarity with MITgcm.