PhD position in machine learning for ensemble prediction in weather and climate

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PhD position in machine learning for ensemble prediction in weather and climate

Thomas Spengler-2
Dear Colleague,

There is a vacancy for a PhD position in machine learning for ensemble prediction in weather and climate. The position is for a fixed-term period of 4 years. I would greatly appreciated if you could post this information and/or inform potential candidates at your department about this opportunity.

 

About the project:  
The PhD project focuses on research in machine learning, topological data analysis and visualization techniques and the exploration of new approaches to enhance weather and climate models. The state-of-the-art approach to assessing predictability in weather and climate models is to perform ensemble simulations and use mean, median, and standard deviation to assess model performance and forecast certainty. The presence of multimodality in the ensemble challenges existing methods for ensemble data analysis. 
The PhD candidate will study machine learning and topological techniques to identify and visualise multimodal development in weather and climate prediction systems. Emphasis will be on weather systems, such as cyclones and fronts based using novel diagnostic tools developed at UiB, to identify and describe their multimodal evolution in different modelling systems.

The full position announcement, qualifications, and application procedure can be found via the link below:
Deadline for application is 15 August!

Best wishes,
Thomas


-- 
Prof. Dr. Thomas Spengler
Geophysical Institute
University of Bergen
Postboks 7803
5020 Bergen
Norway

Phone: + 47 55 58 98 46
Mobile: + 47 93 81 67 24 
Fax: + 47 55 58 98 83
E-Mail: [hidden email]
Web: http://www.uib.no/persons/Thomas.Spengler


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