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 Machine Learning in Biomedical Imaging (IML) focuses on research to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Its goal is to fundamentally transform the use of imaging for diagnostics and prognostics. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome.

The project is about early and accurate diagnostic and prognostic markers for Alzheimer's disease. Join our team to design, implement and deploy AI-based diagnostic and prognostic algorithms for Alzheimer's disease.

PostDoc in Deep Learning for early markers of Alzheimer's disease (f/m/x) 101839

Image Full time
Image Neuherberg near Munich
Image Postdocs

Your responsibilities

The successful candidate (f/m/x) will push the limits of machine/deep learning research in one or more of the following hot-topic medical imaging projects that form the four pillars of the new Institute:

  • Machine learning for advanced imaging: You will develop and explore novel machine learning methods by tight coupling to the physics of imaging formation, including affordable or newly emerging imaging solutions, and/or explicitly embedding disease or response models.
  • Machine learning for early detection and improved outcome: You will develop and explore novel machine learning models to predict whether or not a patient will respond to a specific form of therapy, or whether disease is likely to recur after completed treatment.
  • Machine learning for large population databases: You will develop large-scale machine learning solutions that will link to different diseases, and/or relate different, complementary imaging modalities, biomarkers and molecular features to one another.
  • Machine learning for the clinic: You will innovate methods for domain generalisation, realistic data augmentation, and federated learning, to deploy machine learning methods that have been trained on well curated data more readily to clinical patient data.

The successful candidate (f/m/x) is expected to publish in peer-reviewed journals and to participate in international conferences. The supervision of students and doctoral candidates, contribution to teaching and application for funding are also expected.

Your qualifications

  • Holding an excellent MSc and PhD degree in the field of applied mathematics, computer science/informatics, engineering, (medical) physics or comparable applied / natural sciences
  • Good publications track record in the relevant journals (e.g. IEEE Transactions in Medical Imaging, MedIA, MELBA, Nature Machine Intelligence…)
  • Profound knowledge in machine-learning for (medical) imaging and strong affinity to apply this in the field in one or more of the mentioned medical imaging projects
  • Strong programming skills especially in python and the relevant deep learning libraries (pytorch or tensorflow)
  • Experience in git and other version control
  • Independent, pro-active, structured and solution-oriented work attitude, analytical thinking, above-average commitment and enjoyment of working in an international and collaborative environment
  • Experience and willingness of working in a multidisciplinary team, incl. clinicians and medical physicists
  • Strong scientific communication and presentation skills in English
  • First experiences in third-party fundraising and teaching experience are desirable

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 limited until May 2025.

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 Sandra Mayer, +49 89 3187-49207, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Machine Learning in Biomed Imaging
Ingolstädter Landstraße 1

85764 Neuherberg

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