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; including the Helmholtz Pioneer Campus and the Research Center TranslaTUM, which integrate bioengineering with metabolic disorders and oncology, respectively.

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

PhD student in computational medical imaging (f/m/x) 101589

Image Full time
Image Neuherberg near Munich
Image PhD

Your mission

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, thus, has the potential to enable early detection of pathological changes in peripheral nerves, e.g., in conjunction with diabetes.

Therefore, if you have expertise in computational methods in medical imaging, join our team and help us gain as many medically relevant insights as possible from our imaging data. This is your opportunity to contribute to a medical imaging revolution!

Your qualifications

The successful applicant must have the following:

  • A master degree in Mathematics, Computer Science, Data Science, Physics, Engineering or a related discipline.
  • 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

scientific training at HELENA Graduate School
work-life balance
flexible working hours & time off in lieu
30 days annual leave
on-site health management service
Image career consultation
Image mobile work
Image on-site nursery
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 world-leading research institutions it offers an intellectually stimulating environment.

This position also provides the opportunity for you to build specialist knowledge and collect significant professional experience, both of which will help advance your scientific career.

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.

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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