Postdoc Physics-Aware Machine Learning for Atmospheric Cloud Research

The position is located within the department of Geoscience and Remote Sensing (GRS). At GRS, we seek to advance the understanding of dynamic processes on—and human interaction with—Earth, with a focus on atmospheric sciences and geodesy. The approach is based on the modelling of processes and data science, as well as the development of observation technology. About 110 staff members at GRS, including 25 faculty staff, create an interdisciplinary research environment in which scientific staff and students explore, learn, and teach. Please check https://www.tudelft.nl/en/ceg/about-faculty/departments/geoscience-remote-sensing >

GRS is one of the 7 departments within the Faculty of Civil Engineering and Geosciences (CEG). The CEG faculty is committed to outstanding international research and education in the field of applied earth sciences, civil engineering, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource depletion, urbanisation and the availability of clean water. CEG is convinced that Open Science helps to achieve our goals and supports its scientists in integrating Open Science in their research practice. Please check www.tudelft.nl/ceg for more information.