Website Helmholtz Munich
Your tasks
- Develop AI-driven virtual staining pipelines for the analysis of cancer tissue samples
- Design, train, and optimize generative AI models that transform unlabeled or 3D tissue images into realistic virtual stains, such as synthetic H&E images or biomarker maps
- Develop and implement image processing, data preparation, and model evaluation workflows for complex biomedical imaging datasets
- Benchmark and validate model performance, robustness, and biological relevance in close collaboration with biologists, medical researchers, and imaging experts
- Contribute to the integration of AI-based image analysis with microscopy, histopathology, and molecular data to generate new insights into cancer biology
- Present and publish research findings and contribute to the further development of AI-driven technologies for biomedical research and cancer diagnostics
Your profile
- Master’s degree in a relevant field
- Experience in machine learning for imaging, ideally in biomedical or histopathological contexts
- Strong programming skills and deep learning frameworks
- Familiarity with generative models (e.g., diffusion, GANs, autoencoders) or virtual staining concepts
- Excellent teamwork and communication skills in an international environment
Desirable qualifications
- Understanding of microscopy, image analysis, and biological data (H&E, immunostaining, omics integration)
- Experience with 3D networks, transformer architectures, or self-supervised learning
If you fulfill all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). This position is for a fixed term of 1 year.
„We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.“
Benefits
Family Support
On-site kindergarten, holiday care, care for the elderly
Health Promotion
Sports, company doctor, mental health initiatives
International Staff Service
Support with the relocation and integration process in Germany
Personal Development
Comprehensive in-house training and development opportunities
Recreation
30 days annual leave, flexi days, plus public holidays
Retirement Provision
Company pension plan
Interested in applying?
If you have any questions, feel free to contact Stefanie Reitinger, stefanie.reitinger@helmholtz-munich.de, who will be happy to help.
Our recruiting is decentralized – your application will be reviewed directly by the specialist department in which you could work in the future.
More information about our application process
- CV
- Cover letter
- Contact details for at least two referees
- Degrees/Diplomas/Certificates
- References from recent employers
If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree. Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.
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