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Our mission as research center: Discover personalized medical solutions for environmentally triggered diseases to promote a healthier society in a rapidly changing world.

The Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research structure and form the cornerstone of a rapidly expanding bioengineering ecosystem in Munich, Germany. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing breakthroughs in biology, medicine and the environment.

The group for AI in optoacoustics is looking for a highly qualified and motivated Post-doctoral researcher (f/m/x) to drive the development of AI methods for medical optoacoustic imaging in the context of an ERC-funded project.

Postdoc in AI for medical imaging (f/m/x) 101590

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Image Neuherberg near Munich
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Your responsibilities

Contribute to the implementation of intelligent radiomics by integrating the whole imaging value chain – ranging from imaging hardware, over image formation, to medical interpretation of the data – into an intelligent software environment.

The clinical use case of the project is optoacoustic imaging of peripheral neuropathy. The internal structure and vascular supply of peripheral nerves can be visualized in unprecedented detail by exploiting the spectral contrast of optoacoustic imaging. The project has the potential to enable early detection of pathological changes in peripheral nerves in conjunction with diabetes.

Therefore, if you have expertise in machine learning and AI in medical imaging, join our team and help us gain as many medically relevant insights as possible from our imaging data.

Your qualifications

The successful applicant must have the following:

  • A Ph.D. in Mathematics, Computer Science, Data Science, Physics, Engineering or a related discipline.
  • Excellent track record of research achievements and publications in top-ranked journals.
  • Strong motivation, scientific curiosity and commitment to scientific excellence.
  • Expertise in machine learning, medical imaging, probabilistic modelling, simulation, data analysis.
  • Strong programming skills.
  • Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.
  • Excellent command of the English language.

What we offer you

work-life balance
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flexible working hours & working-time models
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continuous education and training
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30 days annual leave
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on-site health management service
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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 world-leading research institutions it offers an intellectually stimulating environment.

Provided that the prerequisites are fulfilled, a salary level up to E 13 is possible. Social benefits are based on the collective agreement for the federal public service (TVöD). The position is (initially) limited to two years, 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 comprehensive online application including your letter of motivation, CV and academic transcripts of records, preferably in English and in a single PDF file.

Interested?
If you have further questions, simply contact Dr. Dominik Jüstel, +49 89 4140 9165, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Biological and Medical Imaging
Ingolstädter Landstraße 1

85764 Oberschleißheim

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