Organisation/Company: Universität Wien
Research Field: Physics › Metrology
Researcher Profile: First Stage Researcher (R1)
Application Deadline: 31/01/2022 23:00 - Europe/Brussels
Location: Austria › Wien
Type Of Contract: Temporary
Job Status: Part-time
Hours Per Week: 30
Offer Starting Date: 01/02/2022
We offer a PhD (“prae-doctoral”) position in the field of inverse modelling
of greenhouse gases. The position will be embedded in the research group of
Prof. Andreas Stohl on atmospheric transport modelling and will be part of the
Vienna Network for Atmospheric Research (VINAR), a collaboration between the
University of Vienna and the Austrian National Weather Service ZAMG
(Zentralanstalt für Meteorologie und Geodynamik).
The starting date can be as early as 1 February 2022. The announcement is made
for four years, whereby the employment relationship is initially limited to
1,5 years and is automatically extended to a total of four years, unless the
employer submits a declaration of non-renewal after a maximum of 12 months.
Greenhouse gases are emitted by a variety of sources, both natural and
anthropogenic. Countries are obliged to report their emissions to UNFCCC, for
which they estimate these emissions using so-called bottom-up methods based
on, e.g., energy statistics, or land use changes. However, such estimates
especially for fluxes from natural lands, are highly uncertain and need
The doctoral student will develop inverse methods that allow constraining the
greenhouse gas fluxes based on atmospheric observation data, a transport model
and prior emission information. The work shall use the Lagrangian particle
dispersion model FLEXPART (see www. flexpart.eu), which is being developed in
our group, and may build on the inversion framework FLEXINVERT
(https: // flexinvert.nilu.no/), also used in our group. While our past work
has focussed on the use of ground-based observations, the doctoral student
shall also develop new methods that are suitable for the use of the large
greenhouse gas observation data sets produced by forthcoming satellite
missions, thus facilitating unprecedented high-resolution emission estimates.
This position will be part of the Vienna Network for Atmospheric Research
(VINAR), a collaboration between the University of Vienna and ZAMG
(https: // vinar.univie.ac.at/). The student will have access to data and
models used at ZAMG and the research will be conducted in close collaboration
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.
Duration of employment: 4 year/s
Extent of Employment: 30 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1
Grundstufe (praedoc) with relevant work experience determining the
assignment to a particular salary grade.
Participation in research, teaching and administration:
• Development and application of inverse methods for determining greenhouse
• Scientific publications and presentations;
• Participation in teaching and independent teaching of courses as defined by
the collective agreement;
• Support of collaboration activities in the Vienna Network for Atmospheric
• We expect the successful candidate to sign a doctoral thesis agreement
within 12 months.
Applications including a letter of motivation (German or English) should be
submitted via the Job Center to the University of Vienna
(https:// jobcenter.univie.ac.at) no later than 31.01.2022, mentioning
reference number 12460.
For further information please contact Stohl, Andreas +43-1-4277-53730.
The University pursues a non-discriminatory employment policy and values equal
opportunities, as well as diversity (https:// 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.
Human Resources and Gender Equality of the University of Vienna
Reference number: 12460
• MSc or Diploma degree in meteorology, physics, mathematics, or related
• Good communication skills and ability to work in a team;
• Large experience in programming;
• Excellent command of written and spoken English.
Furthermore, the following skills/expertise will be an asset:
• Experience with use of atmospheric (transport) models;
• Good knowledge of statistics;
Your application should be a single PDF file that includes:
• A letter of motivation;
• A curriculum vitae;
• A list of publications and presentations;
• Contact information of two references;
• Degree certificates.
Organisation/Company: Universität Wien
Department: Institut für Meteorologie und Geophysik
Organisation Type: Higher Education Institute
Website: https: // img.univie.ac.at/
Postal Code: 1090
Street: Althanstrasse (UZA II), 14