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

Helmholtz Zentrum München; Neuherberg; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading research institution in Germany is looking for a Postdoc in Deep Learning and Digital Pathology. The successful applicant will develop large foundation models, supervise students, and engage in advanced machine learning tasks. A PhD in relevant fields, proficiency in AI techniques, and strong Python skills are essential. The position offers a competitive salary, international collaboration, and numerous benefits including 30 annual leave days and support for relocation. The opportunity is fixed-term for 2 years but may extend based on project needs.

Leistungen

Career Development through Postdoc program

State-of-the-art scientific resources

30 days annual leave plus public holidays

Support with relocation

Health promotion initiatives

Qualifikationen

• PhD specializing in image analysis or machine learning required.
• Proficiency in deep learning techniques is a must.
• Mastery of Python and related AI software technologies is needed.

Aufgaben

• Build large scale foundation models for digital pathology.
• Develop and apply single cell segmentation methods.
• Supervise PhD and MSc students.

Kenntnisse

Image analysis

Machine learning

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

Python

English proficiency

Ausbildung

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

Jobbeschreibung

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

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: http://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 fordigital 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.

Benefits

• 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
• 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.

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.

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