[ES_JOBS_NET] Postdoc position the Netherlands: Physics-Informed Machine Learning for Clouds

[Franziska Glassmeier]

We invite you to apply for a postdoctoral position in the field of data-driven atmospheric cloud research. 

Within the broad scope of physics-aware and interpretable machine learning, you will be free to set your own scientific emphasis. Possible research directions include data-driven model discovery under incorporation of partial physical knowledge such as conservation laws. Examples for applications include boundary-layer clouds and cloud microphysics.

We are looking for a curiosity-driven, and conceptually-minded candidate who enjoys scientific discussion and computational data analysis. As a suitable candidate, you either have hands-on experience with machine-learning methods and at least a basic knowledge of physics, or a background in atmospheric cloud research and advanced data analysis. Prior experience with physics-informed machine-learning is not required but will be beneficial.

TU Delft is one of the leading research universities worldwide, located within 20 minutes by public transport from Den Haag and Rotterdam in the Netherlands.

For more details and to apply visit: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=7867 

Your application will be given full consideration if you apply before Aug 20, 2022.

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TU Delft
Franziska Glassmeier
Assistant Professor

Faculty of Civil Engineering and Geosciences
Department Geoscience and Remote Sensing
PO Box 5048, 2600 GA Delft, Netherlands

f.glassmeier at tudelft.nl
https://www.tudelft.nl/en/ceg/about-faculty/departments/geoscience-remote-sensing/staff/scientific-staff/drsc-f-franziska-glassmeier/