Doctoral Position in Artificial Intelligence, Robert Koch Institute, Germany

Expires on: 04/30/2024


The Robert Koch Institute, as part of the ZKI-PH “Centre for Artificial Intelligence in Public Health Research,” is offering multiple PhD positions in the field of Artificial Intelligence (AI) within Public Health Research. The positions are part of the Marie-Skłodowska-Curie Doctoral Training Network DESTINY. The successful candidates will embark on exciting research projects at the interface of AI, medicine, and bioinformatics, contributing to advancements in early warning systems, risk assessment of pathogens, disease burden calculation, and more.

The selected candidates will work part-time with 25.35 hours per week (65% of a full-time position), with the remaining time allocated for PhD research. The roles involve conducting independent research in AI, handling complex data, developing algorithms, and ensuring the quality of work. Research results will be presented at national and international conferences, and scientific publications will be produced. Specific topics for research projects can be found on the ZKI-PH website.


  • 30 days of vacation and days off on Christmas Eve and New Year’s Eve
  • Up to 50% mobile working possible
  •  Subsidized pension plan and capital-forming benefits
  • Transparent payment according to collective agreement with annual bonus and regular pay increases
  • Flexible working hours with flexitime and part-time options
  • Individual training opportunities and a broad training catalog for personal development
  • Sports offers, parent-child offices, and additional benefits


 Candidates should possess a completed scientific university degree (master’s degree or state examination) in a relevant field, such as information technology, science, medicine, or public health. Proficiency in quantitative data analysis, programming languages (e.g., Python, Java), and language skills (English at least C1, C2 preferred; German at least A2 or the willingness to acquire further language skills) is required. Experience in coordinating or managing scientific projects and knowledge of public health research are desirable.


Interested candidates should submit their applications exclusively via, specifying job ID 1100651 / reference code 36/24, by April 30, 2024.

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