1st Junior Research Group at the Cluster of Excellence 'Machine Learning'
On January 1, 2020, Dr. Bedartha Goswami started as leader of the independent Junior Research Group "Machine Learning in Climate Science at the Cluster.
In January 2020, Bedartha Goswami joined the Cluster of Excellence "Machine Learning" at the University of Tübingen as leader of the Junior Research Group, "Machine Learning in Climate Science." The group will extend and develop machine learning based concepts to explore, quantify, and understand complex climatic phenomena such as the El Niño Southern Oscillation and the global monsoon.
Bedartha has worked at the Potsdam Institute for Climate Impact Research (PIK) with Dr. Norbert Marwan on a DFG funded project (2017-2020) that focuses on the development of a new framework to work with uncertainties in climate data. Prior to that, he has worked with Prof. Dr. Bodo Bookhagen at the Institute of Geosciences, University of Potsdam, on characterising spatial patterns of hydrology in the greater Himalayas and also on estimating flow accumulation from lidar point clouds (2016-2017). Bedartha did his PhD (2015) under the supervision of Prof. Dr. Dr. h.c. Jürgen Kurths at PIK, on developing new ways to deal with uncertainties in sedimentary proxy records obtained from paleoclimate archives such as stalagmites, lake sediments, and ice cores.
For futher information please visit "Cluster Junior Research Groups".