Scientific activities / projects, PhD position

Conception and Implementation of efficient data management methods for astronomical data

Starting date


Duration of contract

3 years


According to the German TVöD 13

Type of employment


"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

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.

Your qualifications:

  • completed academic degree in computer science, (applied) mathematics, or physics (university diploma / master’s degree)
  • ability to work independently and autonomously on complex research questions
  • practical experience in large data management (in particular in query processing, indexing, data storage)
  • proven, practical knowledge of performance-oriented programming (C/C++, rust, etc.) by exploiting modern hardware
  • fluency in written and oral English
  • deep knowledge of database implementation techniques, such as database operators, data structures (e.g. index structures, i.e. tree-based, hash-based), and database storage management techniques for raster data is an advantage
  • practical experience in the implementation of software in complex, parallel computer architectures (multi-core, distributed, NUMA-aware, complex storage hierarchy) is a plus
  • fluency in written and oral German is a plus

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Dr. Marcus Paradies
Institute of Data Science

Phone: +49 3641 30960-103

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Vacancy 46588

HR department Berlin

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DLR site Jena

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DLR Institute of Data Science

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