Jobs:Job-00080

New PhD student opportunity at the German research centre for Geoscience (GFZ) and Technical University of Berlin

German research centre for Geoscience (GFZ) and Technical University of Berlin, , Germany
Apply before: 7 February 2020

Posting:

Position:

PhD opportunity

Apply before:

7 February 2020

We are seeking a motivated candidate for one new Ph.D. position in GFZ at Section 4.7 Earth Surface Process Modelling through HEIBRiDS graduate school and inviting all interested candidates to apply. The successful candidate will be advised by Prof. Dr. Jean Braun, Prof. Dr. Gitta Kutynoik, and myself. Prof. Braun is the section head of section 4.7 earth surface process modelling at German research centre for Geoscience (GFZ). Prof. Kutyniok is an Einstein professor of mathematics and computer science at the Technical University of Berlin.

This project will mainly focus on combining deep learning methods, remote sensing, with surface process modelling to develop landslide susceptibility maps. The aim of this project is to understand the control of climate and earthquake on landslide activities with earth observation big data and deep learning method. The candidates will develop a new model to combine the process-based model and deep learning method. Candidates are required to hold a university degree equivalent to a Master degree and have a good command of written and speaking English. German language skill is not required. Experience in machine/deep learning, surface processes modelling, remote sensing, and landslide-related research will be a plus. The successful candidate will receive a four-year fully-funded fellowship. The application deadline is Feb 7, 2020. Apply here: https://heibrids.mdc-berlin.de/intern/start_start_for.php For more information about HEIBRiDS program and requirements: https://www.heibrids.berlin/admission/eligibility/

If you have any questions about the project, please feel free to contact me by htang@gfz-potsdam.de

Best,

Hui Tang

Of interest for:

Terrestrial Working Group

Artificial Intelligence & Machine Learning Initiative