Postdoctoral Fellow – Modeling of Bioaerosols, Layer-clouds and Climate with AI

16 January 2024 - 1 March 2024

The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning.

These tasks will be performed:

• Improve treatment of fragmentation in ice-ice collisions by analysis of video imagery from observations outdoors;
• Simulate a case of layer-cloud observed in USA, comparing with coincident observations;
• Predict the impact from various groups of bioaerosols on the simulated cloud properties;
• Treat the linkage between bioaerosols and clouds on the global scale with a deep learning tool.

This will involve coding with FORTRAN 90 and python languages in a Linux environment.  The work will be mostly performed in a team of atmospheric modelers at the Department of Physical Geography and Ecosystem Science.