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University Assistant (post doc) at the Department of Meteorology and Geophysics
The University of Vienna (20 faculties and centres, 178 fields of study, approx. 9.800 members of staff, about 90.000 students) seeks to fill the position from 01.03.2020 of a
University Assistant (post doc)
at the Department of Meteorology and Geophysics
Reference number: 10242
We offer a university assistant/post-doc position in the field of inverse modelling utilizing a Lagrangian transport model. The position will be embedded in the new research group of Prof. Andreas Stohl on atmospheric transport modelling.
The starting date can be as early as 1 March 2020 and the duration is for six years.
The Department of Meteorology and Geophysics has recently filled two professorship positions (Andreas Stohl and Martin Weissmann, both starting in the beginning of 2020) and is currently in the process of filling a third professorship. This will create an exciting international working environment for many new scientists, large potential for collaboration, and the opportunity for strong personal development.
We seek an outstanding candidate to work in the new research group of A. Stohl. The group will further develop the Lagrangian particle dispersion model FLEXPART (see www.flexpart.eu) and use it as its main working tool for a large range of applications, such as atmospheric energy and moisture transport, pollution transport, or inverse modelling of greenhouse gases. The university assistant shall focus his/her research on inverse modelling, developing novel inverse methods and applying them, for example, to determine the fluxes of greenhouse gases (e.g., halocarbons, methane, CO2, etc.) or the emissions of pollutants (e.g., aerosols, microplastics, etc.), utilizing atmospheric in-situ or remote sensing observations or ice core data. Candidates are invited to propose their own ideas for inverse modelling developments and applications.
Besides research, the successful candidate is also expected to participate in teaching and the supervision of students. Financial support is available for attending international meetings and visiting international research partners.
Participation in research, teaching and administration:
• Development of inverse modelling techniques and their application;
• Research that complements the activities of the group;
• Contributions to project applications and the acquisition of third-party funding;
• Scientific publications and presentations;
• Scientific and technical support of group members;
• Independent teaching of courses as defined by the collective agreement;
• Supervision of students;
• Involvement in the department administration as well as in teaching and research administration.
• Doctoral / PhD degree in meteorology, physics, mathematics, or related subject;
• Good communication skills and ability to work in a team;
• Profound experience in programming, ideally with Fortran or C;
• Proven ability to publish in highly ranked international journals;
• Excellent command of written and spoken English.
Furthermore, the following skills/expertise will be an asset:
• Experience with inverse modelling methods;
• Experience with use of atmospheric transport models;
• Experience in external fundraising;
• Experience in teaching.
Your application should be a single PDF file that includes:
• A letter of motivation;
• An academic curriculum vitae;
• A description of research interests and plans;
• A list of publications and presentations;
• A list of courses given;
• A list of talks given;
• Contact information of two references;
• Degree certificates.
Main research field
Special research fields
Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (
http://jobcenter.univie.ac.at) no later than 15.01.2020, mentioning reference number 10242.
For further information please contact email@example.com.
The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (
http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.