Fachbereich Geowissenschaften - Institut für Geographische Wissenschaften Professur für Physische Geographie
Research Assistant (m/f/d) 50%-part-time job limited to 4 years Besoldungsgruppe E13 Reference code: GeoDust2021
The advertised position is part of a joint project within the Department of Geosciences at Freie Universität Berlin with the goal of obtaining a doctoral degree. The project is headed by Prof. Dr. Kerstin Schepanski (Meteorology) and Dr. Fabian Kirsten (Physical Geography). The doctoral candidate will be formally associated with the Department of Physical Geography (Prof. B. Schütt) at the Institute of Geographical Sciences, but explicitly work on the interface of physical geography and meteorology.
Within the framework of the project "Spatial and Temporal Patterns of Dust Inputs in the Eastern Mediterranean (Regional Focus: Crete) and their Composition and Significance for Current Soil Formation Processes", both meteorological and physical geographical aspects concerning dust deposition in the eastern Mediterranean will be investigated.
The focus is on questions concerning the provenance, trajectories as well as the seasonality and atmospheric distribution of mineral dusts in the eastern Mediterranean area and their subsequent deposition in terrestrial environments. The goal of the project is a source-to-sink model of mineral dusts with respect to sediment budgets and soil formation processes.
The research questions will be addressed by a combination of satellite- and model data-analysis as well as extensive field experiments on Crete and subsequent laboratory analysis. An own study design will be conceived and implemented using low-cost dust traps.
The position is funded by the budget of the Department of Geosciences and there is an obligation to participate in teaching in the Bachelor of Geographical Sciences with 2 SWS.
The opportunity to earn scientific qualification will be given
- Completed university degree (MA) in meteorology, geosciences, or physical geography (or closely related subjects).
- Willingness to spend at least one extended field visit in the study area, driving license (class B)
- Good oral and written English skills
- Experience in field and laboratory work
- Experience in the analysis of (meteorological) model and satellite data
- Programming skills (R, Python)
- Knowledge in statistical data analysis and the use of geographic information systems (GIS)
Stellenausschreibung vom: 25.07.2021