Scientific Staff (f/m/x) in the field of IT System Architecture and Data management - Köln

Scientific Staff (f/m/x) in the field of IT System Architecture and Data management

IT Center University of Cologne (ITCC)

We are one of the largest and oldest universities in Europe and one of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a wide range of career opportunities in science, technology, and administration.

The IT Center University of Cologne (ITCC), as a central facility of the University, provides support to all members of the academic community and also participates in dedicated research  projects, like the CRC1601. In this project, the ITCC assists the consortium members  in research-data management (RDM), for instance by testing and setting up systems and platforms for organizing, sharing, and analyzing data. The CCAT Data Center at the ITCC will process and manage the data produced by the Fred Young Submm Telescope, which is currently under construction in Chile. This telescope will generate approx. 10 petabytes of raw data in the first five years of operation starting in 2026. The successful candidate is expected to support both of these initiatives as an integral member of the existing teams at the Department of Research Infrastructure Services (RIS at ITCC) and at the Institute of Physics I (PH1). 

https://itcc.uni-koeln.de
https://www.ccatobservatory.org
https://ph1.uni-koeln.de
https://sfb1601.astro.uni-koeln.de

YOUR TASKS

• IT architecture: Research into novel techniques for managing and processing large amounts of astrophysical data, incl. workflow management systems, data processing pipelines, cloud technologies, high-performance computing

• Infrastructure and Systems Management: Testing, installation, configuration and maintenance of project-specific hardware and software, incl. on the HPC-system

• Astronomical Data Science: Further development and optimization of the software and workflows used for the processing of astronomical data

• Security and Data Management: Design and implementation of backup and transfer strategies, as well as IT security best-practices and data governance

• User Support and Communication: Assist the project and consortium members in the usage of different technologies. Participate in project and consortium activities, as well as in publications, oral presentations, and grant applications

• Education (2h/week): Teaching a course in accordance with the teaching obligations for academic staff as well as the development of innovative tools for training and education and the daily supervision of Bachelor‘s and Master‘s students and guest scientists. Providing support in lectures or in connection with the laboratory activities of the Department of Physics programme.