Institute of Data Science
Area of research:
Scientific / postdoctoral posts,PHD Thesis
At the Institute of Data Science in Jena we are establishing a new research group on „Data Management Technologies“. In this group, we develop novel methods and techniques for storing, managing, describing, and processing large amounts of multi-dimensional data in distributed storage systems. The work is conducted in close collaboration with the German Remote Sensing Data Center and external partners at the Thüringer Landessternwarte Tautenburg and the Max Planck Institute for Radio Astronomy.
In addition to our ongoing research on data management challenges for remote sensing (in particular earth observation), your task is to develop and establish Radio Astronomy as another important application domain for research in the area of large-scale data management. To fully leverage the potential synergy of common data management problems between both application domains, it is of importance to gain a good understanding of the Radio Astronomy domain and its data management challenges. You are responsible for the in-depth analysis of requirements for the storage, management, description, and processing of large volumes (in the PB range) of scientific, multi-dimensional data in cooperation with our external partners from the Radio Astronomy domain. Based on these requirements you design novel methods and techniques for scalable storage management of large scientific data sets, efficient data access paths, and processing capabilities for Radio Astronomy applications.
The emphasis of your activities will be on:
analysis of core requirements for the management of large, complex volumes of radio astronomical data literature research in the area of large-scale data management for radio astronomical data with the goal to compare existing and develop new methods and techniques analysis of current IT architectures and systems for their usage to storage very large volumes of radio astronomical data development of innovative concepts for the storage, management, description & annotation, and processing of large volumes of radio astronomical data implementation of concepts in efficient data structures, algorithms, and modules scientific evaluation, documentation, and publication of results in scientific journals, workshops, or conferences technical supervision of undergraduate students contribution to the management, documentation, and maintenance of IT platforms scientific guidance and further development of the research area data management for data-intensive Radio Astronomy
The position allows obtaining a PhD degree at a collaborating university.