PhD in modeling the atmospheric weak-wind boundary-layer using Large Eddy Simulation (LES)
The micrometeorology department at the University of Bayreuth specializes in unique, insightful observations and modeling of the boundary layer. The group was recently awarded an European Research Council (ERC) Consolidator Grant for the project titled ‘DarkMix: Illuminating the dark side of surface meteorology: creating a novel framework to explain atmospheric transport and turbulent mixing in the weak-wind boundary layer’. Its technical innovation is the use of fiber-optic distributed temperature sensing to observe airflow and heat transport in a 3-dimensional fashion (Large Eddy Observation, LEO). The ultimate goal is formulating a novel theoretical framework explaining transport and mixing in the stable, weak-wind boundary layer. The development of the LEO facilitates the first at-scale evaluations of the Large Eddy Simulation (LES) technique.
The University of Bayreuth, Germany is a research-oriented university with internationally competitive, interdisciplinary focal areas in ecology & environmental sciences and non-linear dynamics.
To commence in May 2019. The appointments will be made for a period of 36 months.
You will conduct research as part of the DarkMix ERC project. Both the postdoc and associated PhD student will employ LES modeling informed by the novel LEO observations towards the a new framework of the weak-wind boundary layer while working with the larger DarkMix research team.
You have completed a graduate degree (Master’s) in a physics- or math-related field, especially in an atmospheric- or meteorology-related discipline. You are fluent in English (both conversation and writing). Previous experience working with atmospheric models will put you at an advantage. You are self-motivated, able to work as part of a larger interdisciplinary team, and are creative.
1st consideration will be given to applications received by April 15th. We hope to fill both positions by May, 2019, but both positions are open until filled by the best candidate.
Please send your
- Resume/ CV including copies of transcripts and diplomas,
- Cover letter indicating how your qualifications and experience have prepared you for this position, and
- Names of up to three professional references, their e-mail addresses and telephone numbers
in English as a single PDF file (with up to 30 MB in size) using the keywords ‘DarkMix PhD 3’ as the subject to the following address: Prof. Dr. Christoph Thomas, firstname.lastname@example.org.