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Helmholtz Zentrum München is a research center with the mission to discover personalized medical solutions for the prevention and therapy of environmentally triggered diseases and promote a healthier society in a rapidly changing world.

Germany’s largest research organization, the Helmholtz Association, launched Helmholtz AI: This dedicated, interdisciplinary platform develops and promotes applied Artificial Intelligence (AI) methods for all Helmholtz centers in collaboration with its external and university partners. Its central unit is implemented at the Helmholtz Zentrum München in Munich.

Lara Urban’s lab at Helmholtz AI and the Helmholtz Pioneer Campus at Helmholtz Munich focuses on the application of Molecular Biology and Artificial Intelligence (AI) in the context of planetary health. Research topics include, but are not limited to:

In this context, the Urban lab is looking for a PhD candidate who has experience in genomic research, Machine Learning, and/or planetary health, and who has a strong interest in the respective other research directions. You will be working closely with the rest of the Urban lab to drive your own research, and be involved in interdisciplinary projects within Helmholtz and in additional international collaborations. You will be given ample opportunity to publish your scientific results and present them at international conferences.

PhD in genomic surveillance of airborne pathogens (f/m/x) 101565

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Image Neuherberg near Munich
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Your qualifications

  • M.Sc. in life sciences, computer science or associated disciplines, with interest in genomics, data analysis and/or planetary health
  • Background in laboratory applications, genomics research and/or Machine/Deep Learning with interest in the respective other research directions
  • Programming skills in Python (or equivalent)
  • Excellent analytical, technical, and problem solving skills
  • Be highly motivated and a team player with excellent communication and presentation skills, including experience in communicating across discipline boundaries

Beneficial qualifications

  • Track record of contributions to peer-reviewed publications and international conferences
  • Hands-on experience with nanopore sequencing and associated data analysis
  • Experience with shell scripting, cluster and/ or cloud computing

What we offer you

scientific training at MUDS Graduate School
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work-life balance
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flexible working hours
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30 days annual leave
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on-site health management service
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Image career consultation
Image home office options
Image on-site daycare & vacation childcare
Image company pension scheme
Image discounted public transport ticket

Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and research institutes, it offers a scientifically inspiring environment.

Your scientific career is important to us, that’s why this position provides the opportunity for you to build specialist knowledge and gather significant professional experience.

Remuneration and social benefits are based on the collective wage agreement for public-sector employees at federal level (EG 13 75% TV EntgO Bund). The position is (initially) limited to three years, but under certain circumstances an extension can be arranged.

To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion and age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree. Please request the recognition as early as possible.

We are looking forward to receiving your application until May 27th 2022; please be in touch if you require additional time due to unforeseen circumstances. Please upload the following in a single PDF file:


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