The RKI is a partner of DAKI-FWS https://www.hhi.fraunhofer.de/en/departments/ai/projects/daki-fws.html , consortium with the goal to develop data and AI-driven applications to stabilize the German economy, funded by the Federal Ministry of Economic Affairs and Energy. The group at RKI will help develop and implement AI methods for the early detection of infectious disease outbreaks using traditional surveillance data, but also other sources such as intensive care unit, emergency department, genome, and even non-health data.

Your tasks in our group:
• Development and implementation of AI methods for outbreak detection, in collaboration with a large consortium of public and industrial partners
• Identification and statistical description of relevant data sources
• Conception and implementation of an early warning system for infectious diseases using state-of-the-art outbreak detection algorithms

Your profile:
• M.Sc., M.Eng. or Uni-Diplom in Informatics, Mathematics, Natural Sciences or a similar domain
• One year of experience or more in Data-Science-related work, preferably in many-persons projects, or advanced, applied study projects
• Professional experience applying AI methodology to time series
• Strong programming experience in preferably R or Python
• Practical experience with scientific programming
• Knowledge of German sufficient for simple conversations (equivalent to CEFR level B2)