Doctoral researcher on observing and modeling atmospheric dust processes
Position
Doctoral researcher on observing and modeling atmospheric dust processes
Employer
Location
Karlsruhe, Germany
Sector
Academic
Relevant divisions
Atmospheric Sciences (AS)
Climate: Past, Present & Future (CL)
Geomorphology (GM)
Climate: Past, Present & Future (CL)
Geomorphology (GM)
Type
Part time
Level
Entry level
Salary
75% TV-L E13
Required education
Master
Application deadline
Open until the position is filled
Posted
14 October 2025
Job description
As part of our international research team, you will work at the interface between observation and modeling of atmospheric dust processes.
Your main responsibilities include:
- Data collection and analysis: You will collect and analyze novel dust particle size distribution measurements at European observatories - ranging from the smallest to giant particles.
- Model development: Using observational data as a reference, you will contribute to improving the dust representation in the ICON-ART model with regard to key dust properties, such as particle size, shape, mineralogical composition, and optical properties.
- Model testing and simulations: You will investigate the impact of different model resolutions, including storm-resolving scales, and conduct simulations of dust transport from North Africa. The goal is to constraint the dust direct radiative effect with observational data and quantify the regional climate response.
- Scientific communication: You will present your research findings in peer-reviewed journals, scientific conferences, workshops, etc.
- Collaboration and teaching: You will work closely with project partners in Spain and Germany and have the opportunity to actively contribute to teaching and gain valuable didactic experience.
Required personal qualifications:
- A completed scientific university degree (Master's) in meteorology, physics, or a related field
- Solid knowledge of atmospheric physics
- Very good programming skills (Python, Fortran, Shell, etc.)
- Prior knowledge in the field of atmospheric aerosols, e. g. mineral dust, is advantageous
- Experience with numerical weather and climate models and aerosol measurement is also advantageous
- Excellent English skills, both written and spoken
- High motivation and proactive behavior
- Communication skills, teamwork, as well as independent and structured working methods