Postdoc positions in Computational Health (f/m/x)

Helmholtz Zentrum München; Oberschleißheim; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

Helmholtz Munich offers multiple postdoctoral positions in Computational Health that focus on groundbreaking AI research. Candidates will engage in interdisciplinary projects at the intersection of machine learning and health, contributing to innovative solutions for real-world health applications.

Leistungen

Career Development Program

State-of-the-art Infrastructure

30 days annual leave

Support for relocation and integration

Health Promotion Initiatives

Qualifikationen

• PhD in a relevant field required.
• Experience with machine/deep learning methods expected.
• Strong interest in medical and biological questions is a plus.

Aufgaben

• Conduct independent and collaborative research.
• Contribute to publications and grant writing.
• Support supervision of students and junior researchers.

Kenntnisse

Machine Learning

Deep Learning

Interdisciplinary Research

Data Analysis

Ausbildung

PhD in Computer Science, Bioinformatics, Computational Biology, Applied Mathematics or related field

Jobbeschreibung

Postdoc positions in Computational Health (f/m/x)

102675

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 Computational Health Center (CHC) at Helmholtz Munich develops novel computational tools powered by AI to accelerate discovery and translation in human health and disease.

The CHC has 9 open positions in its postdoctoral program. The program offers a rare opportunity to conduct cutting-edge research at the intersection of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary collaboration, career development events, networking initiatives, industry placements, and research stays.

Your tasks

Candidates are expected to conduct independent and collaborative research, contribute to publications and grant writing, and support the supervision of students and junior researchers in one the following research areas:

• Computational oncology
• AI drug discovery
• Statistical genetics, single-cell genomics, virtual cell models
• Graph-based neural networks, optimal transport
• Agentic systems, large language models
• Generative AI, probabilistic models
• Representation learning, self-supervised learning, foundation models
• Data analysis, non-linear statistics, knowledge management

Your profile

• PhD in Computer Science, Bioinformatics, Computational Biology, Applied Mathematics or related field
• Interest in interdisciplinary research
• Applied experience with machine/deep learning methods
• Ability to handle multiple projects in a dynamic environment
• Strong interest in medical and/or biological questions

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 positions are for a fixed term of 2 years.

Prof. Dr. Dr. Fabian Theis,Director Computational Health Center:

"With AI we can imagine a future where diagnosing and treating diseases is more affordable, widely available, and thus more democratic."

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 Julia Schlehe ([e-mail]) or Mara Kieke ([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:

• Statement of motivation
• References (if available)
• List of publications with highlighting the top 3 publications

• CV
• Degrees/Diplomas/Certificates
• Statement of motivation
• References (if available)
• List of publications with highlighting the top 3 publications

24.06.2025

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 Oberschleißheim