The online interactive magazine of the Association for the Advancement of Artificial Intelligence
  • Part Time
  • PhD Student
  • Germany

Website Robert Koch Institute

Our Research Centre, The new “Centre for Artificial Intelligence in Public Health Research” (ZKI-PH) offers a unique working and research environment: with innovative methods, an international team and state-of-the-art equipment, we are committed to the health of the population.

We are looking for multiple PhD-students for our new “Centre for Artificial Intelligence in Public Health Research” (ZKI-PH) in Wildau. Join the Robert Koch Institute – one of Germany’s largest departmental (governmental) research institutions. We look forward to meeting you.

This is a part-time position with 25.35 hours per week (65 % of a full-time position), with the remainder of the time being reserved for you to work on your PhD research.

We offer you the opportunity to work on exciting research projects for the benefit of Public Health with the qualification goal of a PhD after 3 years as well as integration into one of our interdisciplinary, innovative and international teams. You will receive extensive support in building your professional network, personal development and career planning.

Your responsibilities:

Conduct scientific research in the field of artificial intelligence with a particular focus on Public Health, e.g.:

Work independently on exciting research projects at the interface of AI, medicine and bioinformatics for the benefit of Public Health.

A complete list of available topics can be found on the ZKI-PH website:

What we expect from you

Educational requirements

A completed university degree (university diploma, master’s degree or state examination) in a relevant (information) technical, scientific, medical, public health field or similar

If you have foreign degrees and certificates, please document equivalence with a German qualification.

Required skills and experience

Experience in quantitative data analysis and in handling complex bodies of data Knowledge of and ideally well-established working experience in the common programming languages Research experience in the field of artificial intelligence (AI), machine learning and/or deep learning in one or more areas of research related to the ZKI-PH

Please submit your application per e-mail at [email protected] by 31.06.2022.

Our employees enjoy

We offer you a job that matters. As Germany’s most important public health institute our impact is large.

Teamwork is vital in our line of work, so we attach great importance to respectful communication and an open feedback culture.

We change along with the times when it comes to scheduling. We offer flexible models tailored to individual needs, 30 days paid leave each year and sabbatical opportunities.

Off-campus work is part of our routine. We provide a public transit “job ticket” for trips to the office and bicycles for shorter trips.

Family services, child care and flex time – life is variable and our offerings are as diverse as the lives of our staff as well!

Sport, relaxation courses or cinema club, we have it all. Furthermore, we regularly host all kinds of events – both work-related and informal ones.

We want you to grow with us, so we support your professional, academic and personal development.

Rewarding responsibilities and state-of-the-art equipment make for fruitful interdisciplinary research and supportive administration.

The RKI’s facilities are in or near Berlin – Germany’s vibrant, multicultural capital in the heart of Europe. The city’s green environment and cultural infrastructure offers a high quality of life. Public transit links to other districts and the surrounding countryside are excellent.

Full job post can be found here:

Remuneration: Germany E 13 TVöD
Company Website URL:;jsessionid=0E0888EB71B28C407297EF59B68FEA93.internet111

Further Questions?
Please contact
Sabine Thate
Phone: +49 30 18754-2460
Mail: [email protected]

We are committed to equal opportunities in employment. We guarantee equality in the workplace by welcoming people across the spectrum of diversity. Disabled candidates with the same qualifications and suitability will be given preference.

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