As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing
society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large,
often unique, scientific infrastructure. Come and work with around 6,100 colleagues across a range of topics and disciplines at one of Europe's
largest research centres.
The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data
scientists in close contact to domain-specific knowledge and research. All three domains - life & medical sciences, earth sciences, and energy systems/materials -
are characterized by the experimental generation of huge heterogeneously structured data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems.
The PhD-candidate will set-up an ensemble of runs with the model TSMP-PDAF for the African continent, which simulate water, energy and biogeochemical cycles for the
subsurface and land surface including multiscale assimilation of various remote sensing products. The simulations allow the quantification of the impact of land use
land cover change and human water use on the changes of the terrestrial water, energy and carbon cycles over the African continent, conditioned to remotely sensed
satellite products. In order to explore the large amount of output data generated by the ensemble simulations at high spatial resolution (more than 100 TB), parallel
big data analytical methods are an important tool. Besides classical uni-, bi- and multivariate statistics, and time series analysis, also methods suited to detect
more complex patterns in space and time like wavelet analysis and machine learning (ML) algorithms will be used.
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