Postdoc in Atmospheric Transport Modelling, Vienna

At the University of Vienna, we are looking for a highly motivated postdoctoral researcher to join the "Atmospheric Transport Processes" group, led by Prof. Andreas Stohl, within the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat. You will work with FLEXPART and may also propose your own research topics, such as theoretical and numerical improvements of the model, development of new application fields, or novel applications in existing research areas.

Your personal sphere of play The research group "Atmospheric Transport Processes" develops the FLEXPART model, studies greenhouse gases, pollutants, water vapour, and heat in the atmosphere, and uses inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. Studies of the higher atmosphere are also part of our future strategy. For more information, visit our website: and to the maintenance and further development of the Lagrangian transport model FLEXPART.

Conduct research using FLEXPART on topics selected within the general interests of our group.

Write and contribute to project applications and the acquisition of third‑party funding, and help manage projects.

Provide scientific and technical support to team members, FLEXPART co‑developers, PhD and master students.

Teach independently within the provisions of the collective bargaining agreement, including the co‑supervision of BSc and MSc theses.

Publish scientific results in peer‑reviewed journals.

Strengthen the collaborative culture of our team and the Department.

Qualifications

Completed Ph.D. / Doctoral degree in atmospheric sciences (e.g., meteorology, climatology) or a related field.

Strong programming skills.

Data analysis and interpretation experience guided by theoretical/physical understanding, not solely by statistical methods or artificial intelligence.

Good team spirit and willingness to collaborate.

Very good command of the English language.

Preferred skills

Experience with Lagrangian transport models.

Expert knowledge of programming, preferably in Python and/or Fortran.

What we offer A longer‑than‑average postdoctoral contract with freedom to choose your specialized research topics:

This university‑funded position offers more freedom than typical project‑funded positions, allowing you to shape your research profile and establish yourself as a leading expert.

Inspiring and supportive working atmosphere:

You will be part of an international team in a healthy and fair working environment with excellent research infrastructure.

Fair salary plus health care and social benefits:

The gross salary starts at EUR 5,014.30, payable 14 times per year, enabling a comfortable life in Vienna.

Work‑life balance:

Flexible working hours and the option to work remotely (within Austria) upon agreement.

Training and coaching:

Continuous development of your skills on an ongoing basis.

Equal opportunities for all:

We welcome diverse personalities in our team and support low‑carbon options for travelling.

The position is available from 11 August 2026, with a later start possible. The review of applications will begin on 25 June 2026 and continue until the decision is made, aiming for a prompt outcome. An initial contract for three years can be extended to six years by mutual agreement.

Application

Short letter stating your interest in the position and ideas for work with FLEXPART.

Curriculum vitae including a list of publications.

Contact details of two referees available upon request.

Application via our job portal.

Contact and Equality Statement The University of Vienna has an anti‑discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

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