Postdoc in Atmospheric Transport Modelling

Your personal sphere of play:

The research group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of 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, and we use inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere.

To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/. To learn more about FLEXPART, visit https://www.flexpart.eu/. We seek a highly motivated postdoctoral researcher, who will contribute to the research conducted in our team. While we expect you to work with the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model, or novel applications of the model in research fields that we already cover (e.g., analysis of ice core data; transport of heat, water, greenhouse gases, radionuclides or air pollutants in the atmosphere; inverse modelling; Lagrangian re-analyses; transport climatologies).

Your future tasks:

Active participation in research, teaching, and administration, which means you will in particular:

• Contribute to the maintenance and further development of the Lagrangian transport model FLEXPART;
• Using FLEXPART, you will conduct research on topics that you can select yourself within the general interests of our group;
• Write and contribute to project applications and the acquisition of third-party funding, and help to manage projects;
• Provide scientific and technical support to team members, FLEXPART co-developers, PhD and master students;
• Teach independently within the scope of the provisions of the collective bargaining agreement, including the co-supervision of BSc and MSc theses;
• Publish your scientific results in peer-reviewed journals;
• Strengthen the collaborative culture of our team and the Department.

You will require:

• Completed Ph.D. / Doctoral degree in the atmospheric sciences (e.g., meteorology, climatology), or a related field;
• Strong programming skills;
• Data analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods or artificial intelligence;
• A good team spirit and willingness to collaborate;
• Very good command of the English language.

These skills would be an advantage:

• Experience with Lagrangian transport models;
• Expert knowledge of programming, preferably in Python and/or Fortran.