Working field:
The task is to develop methods of data visualization for the identification and visualization of
spatiotemporal structures to achieve a better understanding of multiscale phenomena that
occur during the formation of weather fronts, with a focus on cold fronts. This includes the
development, implementation and testing of interactive methods
as well as the use of these methods to compare meteorological data from various sources.
The work is part of the DFG Collaborative Research Center 1114 "Scaling Cascades in Complex
Systems", which has been established at the Freie Universität Berlin and aims to investigate
multiscale phenomena. Subproject C06 "Multiscale Structure of Atmospheric Vortices" seeks
to model the complex multiscale processes involved in the development of meteorological
phenomena such as tropical storms and weather fronts. For this purpose, the process
interactions are modelled mathematically via the partially deterministic and partly chaotic or
random cascades of scales. This research shall be supported by methods of data visualization..
Requirements:
Ideally, you fulfill the following requirements
It would be favorable if, additionally,
The scientific publication of the results in English as well as the participation in international
and national conferences is expected and made possible
What we offer:
Federal States), taking into account the relevant professional experience,
reduced rates.
How to apply:
Female applicants are highly encouraged to apply. Since women are underrepresented in
information technology, the ZIB is trying to increase the proportion of women in this research
area.
Applicants with disabilities will be given preference if equally qualified.
Please send your application, quoting the reference code WA 16/22, including a cover letter
containing a statement of your research interests, your CV with a list of publications, academic
transcripts and contact details of two references, by 04 July 2022 (date of receipt) in pdf-format
to:
jobs@zib.de
Our private policy statement regarding application data is available at www.zib.de/impressum.
For further information about the position, please refer to our website www.zib.de or contact
Dr. Daniel Baum (
baum@zib.de).
For further job offers please visit our website at www.zib.de/jobads.