Department of Applied Mathematics and Theoretical Physics
The Department of Applied Mathematics and Theoretical Physics invites applications for a part-time (25%) Assistant/Associate Teaching Professor in the field of Data Intensive Climate Science.
This position will be directly connected to the MPhil in Data Intensive Science. The MPhil is supported by the Department of Applied Mathematics and Theoretical Physics, the Institute of Astronomy, and the Department of Physics and has been designed in collaboration with our leading researchers and industrial partners to provide students with expert training in Machine Learning (ML), Statistics, Computing, and their application to research. The MPhil has a growing cohort of students, with a target steady state of 100.
The successful candidate will have extensive experience applying modern data-driven techniques to climate science. They should have a proven track record in research and teaching and be an excellent communicator. They should be able to demonstrate a comprehensive understanding of, and show practical experience with, statistical methods and machine learning algorithms applied to climate science research challenges.