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PhD Student in Satellite-Based Analysis of Climate Forcing by Aerosol

Position
PhD Student in Satellite-Based Analysis of Climate Forcing by Aerosol

Employer

Karlsruhe Institute of Technology (KIT)

Karlsruhe Institute of Technology (KIT) is one of the biggest research institutions worldwide and has access to state-of-the art research facilities resulting from the merger of the National Research Centre of the Helmholtz Association and the former Technical University. For the atmospheric sciences in particular, this means a vibrant and exciting environment full of opportunities.

The Satellite Climatology group is interested in the role of clouds in the climate system, with ongoing projects focusing on the development and application of satellite techniques and machine learning in climate system research (see web site).

Karlsruhe is a city of about 300,000 in the sunny south-west of Germany, with lots of urban green, a lively cultural environment, excellent public transport, very cycle-friendly, and with easy access to the Black Forest mountains.

Homepage: https://www.imk-asf.kit.edu/english/MSA.php


Location
Karlsruhe, Germany

Sector
Academic

Relevant divisions
Atmospheric Sciences (AS)
Climate: Past, Present & Future (CL)
Earth and Space Science Informatics (ESSI)

Type
Other

Level
Student / Graduate / Internship

Salary
Open

Required education
Master

Application deadline
Open until the position is filled

Posted
28 March 2019

Job description

You will work on one of the most exciting open questions in climate research within an international project.

To enjoy this post you should be interested in

  • aerosol in the climate system – one of the largest remaining unknowns in climate research
  • the application of machine learning techniques for analyzing the climate system
  • using data from various satellite missions
  • pursuing your own ideas in close exchange with others
  • profiting from the immense collaboration potential in the group and at KIT

The position can be filled immediately, and is available for up to three years.


How to apply

If this sounds good to you and you have relevant experience in aerosol / machine learning / remote sensing, we are looking forward to hearing from you as soon as possible via email to Jan Cermak: jan.cermak@kit.edu.
Applications welcome until the position is filled.