Author
If you have a concern for climate issues and a keen interest in both physics and machine learning, this Ph.D. student opportunity is tailored to your aspirations! The Arctic Weather Satellite (AWS), developed in Sweden, represents a groundbreaking achievement. Within this project, you will spearhead the initiative to extract climate-related information from the microwave sensor installed on the AWS. This endeavor aims to enhance the satellite's utility not only for weather forecasting but also for climate data analysis.
PhD Project Description
One of the main research areas within our division revolves around harnessing passive microwave satellite data to advance weather forecasting and climate investigations. Specifically, we are at the forefront of pioneering sub-mm wavelengths, which encompass frequencies exceeding 300 GHz. A notable mission dedicated to exploring this sub-mm realm is the Ice Cloud Imager (ICI), scheduled for launch in 2025. In parallel, we are actively engaged in the Arctic Weather Satellite (AWS) project, an European mission that adheres to "new space" principles and is being constructed in Sweden. AWS is set to launch next year and will mark the maiden instance of a sensor in space equipped with sub-mm channels.
We are deeply immersed in preparations for both AWS and ICI, collaborating closely with institutions such as the Swedish Meteorological and Hydrological Institute (SMHI). Due to the swift development timeline of AWS, the primary focus has been on leveraging its data for enhanced weather forecasting. In this Ph.D. project, we endeavor to apply the methodologies we've devised for ICI to AWS, facilitating the generation of datasets concerning ice cloud characteristics for climate-related applications. Our approach to addressing this intricate challenge integrates advanced physical simulations of observations with machine learning guided by Bayesian principles. You will work collaboratively with fellow Ph.D. students and also partake in the ICI project. Consequently, this endeavor offers you the opportunity to engage in the "first light" observations from two groundbreaking satellite missions.
Qualification
Master's degree in physics, engineering mathematics, electrical engineering, atmospheric physics, or related discipline.
How to Apply
The application is only to be submitted online by using the"Apply online" button below. Please be notified that application deadline is 05 October 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.
For questions, please contact:
Prof. Patrick Eriksson, Geoscience and remote sensing, Department Space, Earth, and Environment
patrick.eriksson@chalmers.se
