PhD Scholarship: Polar Ocean Modeling with SWOT & ML

DTU Space; Kongens Lyngby; On-site; DKK 379,000 - 469,000; Full time

Job summary

DTU Space invites applications for a PhD scholarship focused on using SWOT data to improve small-scale ocean process representation. The project will assimilate SWOT observations into a high-resolution ocean model, with an emphasis on polar regions.

The candidate will develop surrogate models with Scientific Machine Learning to reduce computation and enable rapid exploration of ocean processes. Applicants should have a background in ocean modelling and remote sensing, with experience in

Qualifications

• Background in ocean modelling and remote sensing.
• Experience with satellite altimetry and ocean modelling using MITgcm.

Responsibilities

• Assimilate SWOT observations into a high-resolution ocean model.
• Develop surrogate models using Scientific Machine Learning to reduce computational cost.
• Collaborate with SWOT researchers, other DTU departments and international partners.

Skills

Ocean modelling

Remote sensing

Satellite altimetry

Scientific machine learning

MITgcm

Education

Master's degree in oceanography or related field

Two-year master's degree (120 ECTS)

Tools

MITgcm

Job description

DTU Space invites applications for a PhD scholarship focused on using SWOT data to improve small-scale ocean process representation. The project will assimilate SWOT observations into a high-resolution ocean model, with an emphasis on polar regions.

The candidate will develop surrogate models with Scientific Machine Learning to reduce computation and enable rapid exploration of ocean processes. Applicants should have a background in ocean modelling and remote sensing, with experience in