PhD Position in Machine and deep learning methods to understand and predict sea ice changes using remote sensing techniques

Supervisors: 

Summary 

Climate change is altering sea-ice properties and dynamics, but the magnitude, drivers, and feedbacks governing energy, momentum, and carbon exchanges remain poorly quantified. Better understanding and prediction are essential for marine engineering, coastal management, and navigation in a warming climate. This research uses long-term, high-resolution Baltic Sea datasets, including in-situ measurements, satellite products (ICESat-2, CryoSat-2) and hydrodynamic models. The PhD will develop an integrated machine and deep learning framework to merge sea-ice maps with satellite observations to analyse thickness, concentration, and velocity, and link changes...