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 unit, which provide bioengineering solutions to urgent societal needs. 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 an ideal environment to accelerate your career.

We now seek a highly qualified and motivated Post-doctoral researcher (f/m/x) to drive the development of novel analysis methods of thermal video and feature computations for breast cancer detection.

We are looking forward to receiving your comprehensive online application, including your letter of motivation, CV, and academic transcripts of records, preferably in English.

Postdoc in analysis of thermal video and feature computations for breast cancer detection (f/m/x) 101946

Image Full time
Image Neuherberg near Munich
Image Postdocs

Your responsibilities

Early detection of disease is a key factor to improve treatment outcome and reduce healthcare costs. This project is part of an EU-funded grant, which develops a new screening technology that combines advanced infrared camera system with machine learning tools to efficiently analyze dynamic thermal patterns over time and detect vascular abnormalities for breast cancer detection and diagnosis. Addressing this urgent medical need, the successful candidate will work interdisciplinarily at the intersection of computer science, bioengineering, and medicine with collaborators from all over Europe.

Your qualifications

The successful applicant must have the following:

  • PhD degree in Computer Science/Informatics, Engineering, or a related field
  • Excellent track record of research achievements and publications in top-ranked journals.
  • Strong motivation, scientific curiosity, and commitment to scientific excellence
  • Experience in image processing/computer vision and machine learning analysis
  • Practical experience with Python/Matlab/C++
  • Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.
  • Excellent command of the English language.

The following qualifications are considered advantageous:

  • Practical experience in image/video analysis and feature extraction using deep learning

What we offer you

work-life balance
flexible working hours & working-time models
continuous education and training
30 days annual leave
on-site health management service
Image home office options
Image on-site nursery & holiday care
Image elder care
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.

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.

If you have further questions, simply contact Hailong He,, +49 (0)89 31874139, 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

Back to overview Online application