Mach aus dieser Rolle ein Vorstellungsgespräch — ein Lebenslauf und ein Anschreiben, die darauf ausgerichtet sind, was dieser Arbeitgeber sucht.
The Austrian Academy of Sciences (OeAW) in Linz offers a position as Postdoc (f/m/x) in the Transfer Group. This role involves working on the Predicting Arctic Tundra ecosystems development (ARTECO) project, requiring a PhD in Mathematics and experience in numerical mathematics and simulation.
Candidates should possess strong programming skills and a high level of competence in English. The position has a minimum annual gross salary of EUR 70,200.20, with opportunities for collaboration with international experts in a lively research environment.
As a central non‑university institution for science and research, the Austrian Academy of Sciences – OeAW has the task of "promoting science in every respect". Founded in 1847 as a learned society, it now has over 760 members and around 1,800 employees dedicated to innovative basic research, interdisciplinary knowledge exchange and the dissemination of new insights. The OeAW initiates and maintains partnerships worldwide and represents Austria in international scientific organizations; it cooperates with numerous institutions in the scientific field in order to actively shape the research landscape.
Job ID: RICAM063PD226
The Austrian Academy of Sciences (OeAW), Austria’s leading non‑university research and science institution, offers a Position as Postdoc (f/m/x) in the Transfer Group.
The position is available for a duration of one year with the possibility of extension for up to three additional years. Place of employment: Linz. The working languages are English and German.
Work on the project Predicting Arctic Tundra ecosystems development (ARTECO), funded by the Austrian Science Fund (FWF). This joint project involves the Potsdam Institute for Climate Impact Research (PIK, Germany) and the University of Zurich (UZH, Switzerland). Tasks include mathematical modeling and simulation of heat transfer in permafrost soil under climate‑induced temperature scenarios, considering snow coverage, shrubbery and fire. Identify soil parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. Integrated algorithms will be incorporated into the LPJmL Dynamic Global Vegetation Model. Close cooperation with partners at PIK and UZH is required, involving visits and participation in field work.
The Austrian Academy of Sciences (OeAW) pursues a non‑discriminatory employment policy and values equal opportunities, as well as diversity. Individuals from underrepresented groups are particularly encouraged to apply. The OeAW cooperates with NEBA and is a member of MyAbility to provide appropriate workplace structures for persons with disabilities.