Saarland University is a campus university with an international reputation for research excellence, particularly in computer science and in the life sciences and nanosciences. The university is also distinguished by its close ties to France and its strong European focus. Around 17,000 students, studying over one hundred different academic disciplines, are currently enrolled at the Saarland University. Saarland University is officially recognized as one of Germany's family-friendly higher-education institutions and with a combined workforce of more than 4000 it is one of the largest employers in the region.
We are offering the following position for the Societal Observatory Using Novel Data Sources (SOUNDS) to start as soon as possible:
Teamlead Data Development Pool SOUNDS (m/w/d)
Reference Number N2232, remuneration according to TV-L, pay grade E 14, employment period: until July 15, 2032, with option to extend, employment scope: 100% of the standard working hours
This is your field of work:
The Societal Observatory Using Novel Data Sources (SOUNDS) is an interdisciplinary research project at Saarland University (UdS), funded by the state's transformation fund. It investigates societal transformation processes using innovative data sources such as satellite images, social media, and barcode scanners. The aim is to link computer science and social sciences and to strengthen the use of data-intensive methods. In the long term, the goal is to establish an institute based on the structures that have been developed.
SOUNDS works closely with partners such as the I2SC (Interdisciplinary Institute for Societal Computing) and the Max Planck Institute for Software Systems. The project addresses disciplines such as political science, sociology, and macroeconomics and offers strategic interfaces to regional politics and economics. Cooperation with administrations should help to integrate scientific findings directly into decision-making processes.
Many research projects are based on common data types such as social media data, mobility data, or satellite images. To promote efficiency, quality, and an open scientific culture, we are establishing a central technology and data pool, for which we are looking for a team lead as soon as possible who will supervise at least three data engineers.
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