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

Helmholtz Association of German Research Centres; Deutschland; Hybrid; EUR 50.000; Vollzeit

Zusammenfassung

A leading German research institution is seeking a Postdoc in Deep Learning and Digital Pathology to build AI models and lead a team of students. The position requires a PhD in a related field and expertise in deep learning techniques. Responsibilities include developing single cell models and augmentations for digital pathology, working closely with a diverse team across multiple locations. This role offers competitive compensation, career development opportunities, and a supportive work environment that values diversity.

Leistungen

Career Development

Scientific Resources

30 days annual leave

Support with relocation

Health Promotion

Qualifikationen

• PhD specializing in image analysis or machine learning.
• Good understanding of machine learning mathematical foundations.
• Mastering python and related AI software technologies.

Aufgaben

• Building large scale foundation models for digital pathology.
• Applying and developing single cell segmentation methods.
• Supervising a small team of PhD and MSc students.
• Developing new foundations of augmentations for digital pathology.
• Developing multi-scale AI models for cancer patient stratification.

Kenntnisse

Deep learning techniques (CNN, VIT, diffusion, GAN)

Image analysis

Mathematical foundations of machine learning

Python

Proficiency in English

Ausbildung

PhD in computer science, mathematics, physics, bio-/medical informatics

Jobbeschreibung

Area of research

Scientific / postdoctoral posts

Job description

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

102827

Full time

39 hrs./week

Neuherberg near Munich

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.

For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html

Your tasks

• Building large scale foundation models
• 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

Benefits

• Career Development: Postdoc program, scientific training & career center with tailored offers
• Scientific Resources: State-of-the-art infrastructure 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
• Health Promotion: Sports, company doctor, mental health initiatives

Interested in applying?

If you have any questions, feel free to contact Peter Horvath, [e-mail], 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

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

• CV
• Cover letter
• 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

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
AI for Health
Ingolstädter Landstraße 1
85764 Neuherberg

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.