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

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. Comprising 11 inter-disciplinary laboratories and scientists from more than 25 countries, IBMI offers state-of-the-art infrastructure for innovative research and a perfect environment to accelerate your career.

We now seek a highly qualified and motivated Post-doctoral researcher (f/m/x) to drive the development of data analysis methods for novel medical sensing systems.

Postdoc in data analysis for medical sensors (f/m/x) 101462

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Image Neuherberg near Munich
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Your responsibilities

Our research is driving innovation at the interface of bioengineering and medicine, innovating imaging and sensing technologies based on optical and acoustic contrast with a tremendous potential to revolutionize early diagnostics, guided intervention, and management of disease. Optoacoustic imaging and sensing generates structural and functional information about healthy and diseased tissue at unprecedented depths inside organisms. Building upon our extensive expertise in developing methods and systems, we have developed a new class of compact and low-cost medical sensors that, in combination with the implementation of novel data analysis methods, promise a breakthrough in large-scale disease detection and monitoring.

Therefore, if you have expertise in data analysis (deterministic, machine learning and AI) and have potentially even worked with sensors in general before, join our team and help us gain as many biomedical relevant insights as possible. Our goal is to optimize existing data analytic methods to improve the performance of our medical sensors even further. This is your opportunity to contribute to a medical sensing revolution!

Your qualifications

The successful applicant must have the following:

  • Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering or related discipline.
  • Excellent track record of research achievements and publications in top-ranked journals.
  • Strong motivation, scientific curiosity and commitment to scientific excellence.
  • Experience in data analytics (machine learning, AI, deterministic).
  • Experience with sensing data is a plus.
  • Programming skills in MATLAB / Python.
  • 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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Image company pension scheme
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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.

Interested?
If you have further questions, simply contact Philipp Köhler, +49 89 4140 7210, 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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