Post-doctoral /science programmers in the area of modelling regional/global terrestrial ecosystem dynamics and regional vegetation-atmosphere interactions
Land-use change and climate change impact on ecosystems multiple ways, and ecosystem processes feedback to climate, but also to socio-economic processes in the land-use system. Yet our modelling skills in how the corresponding biotic, abiotic and social processes interact is still poor.
We seek post-doctoral researchers/science programmers to improve on some key issues, who will contribute to1) further develop model code of the dynamic vegetation model LPJ-GUESS, for instance related to cropprocesses, seasonal vegetation dynamics (C allocation), and/or model coupling to a multi-trophic functional diversity model (Madingley);
2) develop coupling of LPG-GUESS and the regional climate model WRF
Tasks will also include to
- apply the newly developed model globally and regionally;
- assess model performance against suitable observations;
- perform uncertainty analyses;
- contribute some amount of time to broader duties, such as project reporting and teaching.
The candidates must demonstrate advanced knowledge in programming such as in C++, and must have proven experience in simulations on Linux clusters. A degree in a quantitative environmental sciences discipline, for instance meteorology, environmental physics, or plant ecophysiology is required. Knowledge about soil and vegetation processes is a clear advantage. Candidates also needs to be familiar with processing large-scale model input and output. Excellent oral and written skills in English are prerequisite.
A vibrant and friendly, international research environment in the beautiful surroundings of Garmisch-Partenkirchen, Germany (http://www.imk-ifu.kit.edu/institute.php). The salary will be equivalent to the public service TV-L EG13, depending on qualifications and experience. The appointment will be for 2 years, expected to start around summer 2018; extension beyond 2 years is possible, but depends on performance as well as the availability of funds.