Open postdoc position on mineral dust modeling

27. July 2022

Our partner institute the Karlsruhe Institute of Technology (KIT) is inviting applications for an open 2-year postdoctoral position (all genders | TV-L E13) in the Institute of Meteorology and Climate Research – Department Troposphere Research (IMK-TRO). 

In the context of the EU project nextGEMS and the Helmholtz Young Investigator Group “Mineral Dust”, the successful candidate will contribute to developing a next-generation Earth system model and to determining the role of mineral dust in the climate system. They will work on modeling the mineral dust cycle with ICON(-ART). They will implement additional parameterizations, investigate the sensitivity of modeled mineral dust on model resolution and conduct convection-permitting simulations. To evaluate the model results, they will perform detailed comparisons with observations. Beyond that, they will have the opportunity to gain experience in the co-supervision of students and to contribute to teaching.

For the described position, we are looking for a postdoctoral researcher with background in meteorology or physics, or a comparable qualification, knowledge in atmospheric physics, expertise in scientific programming (e.g. Fortran, C++, Shell script, Python, Matlab), as well as profound experience with numerical modeling and high-performance computing. Previous knowledge in the field of mineral dust/aerosols and very good English language and communication skills complement the candidate’s profile.

Start date: as soon as possible

To apply for this position, please send your application package (cover letter, CV including list of publications, degree certificates, supporting material as applicable) as a single pdf to Dr. Martina Klose (martina klose@kit edu). 

Updates on the position, if any, can be found here: https://www.imk-tro.kit.edu/11561.php

KIT actively supports equality, diversity and inclusion, and as an equal opportunity employer, KIT explicitly encourages applications from women as well as from others who will bring additional diversity. Recognized severely disabled applicants will be preferentially considered if they are equally qualified.

Figure: Wind speed obtained with convection-permitting modeling. Simulation and image by M. Klose.

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