The Research Fellow will join the remote sensing team within the NWP department at ZAMG. The candidate will develop a severe weather nowcasting prototype application based on a fused data approach. With MTG FCI and LI (and precursor data until MTG data are available) together with other data sources, notably NWCSAF, radar and NWP, a machine learning based algorithm will be developed to predict severe weather. Data mining techniques will be applied to determine the parameters which contribute most to the nowcasting algorithm which will be based on a deep learning technique. The ultimate goal is to identify convective cells at an early stage, follow their development and estimate the severity level they may reach.
The candidate will work closely with experts on NWCSAF, radar processing, machine learning and remote sensing at ZAMG.
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