Postdoc; f​/m​/x in Deep Learning and Digital Pathology

Organisation/Company Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Final date to receive applications 18 Mar 2026 - 22:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Area of research:

Scientific / postdoctoral posts

Job description:Postdoc (f/m/x) in Deep Learning and Digital Pathology

102827

Full time
39 hrs./week

Partial Home Office possible

At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.

The Horvath Lab at the

Institute of AI for Health (AIH)

aims to build large deep learning models for digital pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual Proteomics workflow.

• Applying and further developing single cell segmentation methods
• Supervising a small team of PhD and MSc students
• Developing new foundations of augmentations for digital pathology
• Potentially developing multi-scale AI models for cancer patient stratification combining LLMs, molecular measurements, and multi-scale imaging.

Your profile

• PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT, diffusion, GAN)
• Good understanding of the mathematical foundations of machine learning
• Mastering python and related AI software technologies
• Proficiency in English
• Experience in parallel training of large DL models is a plus

While the position will be a team effort, it is a multicenter project and thus independence and capability to remotely work with the other half of the team located in Szeged will often be required.

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). The position has an (initial) fixed term of 2 years but may be extended under certain circumstances.

Managing Director Mike Frieser: „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.“

Get to know us

• Career Development:
  Postdoc program, scientific training & career center with tailored offers
• Scientific Resources:
  State-of-the-art infrastruture and Core Facilities
• Recreation: 30 days annual leave, flexi days, plus public holidays
• International Staff Service:
  Support with the relocation and integration process in Germany

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

Please send your application only via our online application tool and with the following documents:

• CV
• Degrees/Diplomas/Certificates
• Contact details for at least two referees

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.

We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.

Learn more about diversity at Helmholtz Munich

Our commitment

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.