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Health AI Fellows (f/m/x)

Helmholtz Zentrum München

Neuherberg

Hybrid

EUR 40.000 - 60.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading research institute in Germany seeks early-career researchers for the Health AI Fellows program. This postdoctoral fellowship offers the chance to develop an independent research project at the intersection of computation and biomedicine. Candidates should have a PhD in a relevant field and demonstrate creativity in applying computational methods to health issues. Generous support, professional mentoring, and access to cutting-edge resources are provided, alongside a collaborative research environment.

Leistungen

Generous support for travel and research funding
Access to high-performance computing
30 days annual leave
Health and wellness initiatives

Qualifikationen

  • PhD completed or near completion in relevant fields.
  • Strong interest in applying computational methods to health problems.
  • Demonstrated creativity and independence.

Aufgaben

  • Design and execute independent research projects.
  • Collaborate with computational and clinical partners.
  • Publish high-impact publications.

Kenntnisse

Computational methods application
Creativity
Large-scale data handling
AI/ML methods experience

Ausbildung

PhD in computational sciences or related fields
Jobbeschreibung
Health AI Fellows (f/m/x)

102865

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.

Helmholtz Munich invites outstanding early-career researchers (f/m/x) to apply for the Health AI Fellows (HAIF) Program, a unique postdoctoral fellowship designed to provide exceptional independence and resources for advancing computational biomedicine and health-related AI.

As a HAIF Fellow at our Computational Health Center (CHC), you will develop and lead an independent research program at the interface of computation, biomedicine, and AI. You will have the freedom to conceive and pursue innovative research directions, leveraging CHC’s computational infrastructure, scientific platforms, and collaborative environment.

Your role
  • Design and execute an independent research project advancing computational, statistical, or AI-driven approaches to health and disease
  • Collaborate independently with computational, biological, or clinical partners within Munich and internationally
  • Contribute to the interdisciplinary research culture at Helmholtz Munich
  • Publish high-impact publications
  • Develop software and IP with translational potential for clinical or commercial application
Your profile
  • PhD (completed or near completion) in computational sciences, computer science, mathematics, physics, engineering, statistics, or related quantitative fields
  • Strong interest in applying computational methods to biomedical or health-related problems
  • Demonstrated creativity, independence, and scientific excellence
  • Experience working with large-scale data, modeling, or AI/ML methods is an advantage

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.

Our Offer
  1. Generous support including: Travel funding, open access publication budget, access to high-performance computing resources, funding for a student assistant (over entire contract period)
  2. Mentoring by two senior researchers
  3. Access to Helmholtz Munich’s core facilities and technology platforms
  4. Support in securing third-party funding
  5. A vibrant, interdisciplinary, and collaborative research environment
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 Fr. Dr. Anna Sacher, +498931872926, 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

Mentor Selection Requirement: As part of your application, please select two CHC Principal Investigators whom you propose as your primary mentors for the fellowship. Alternatively, applicants may select one CHC PI and one external mentor (e.g., from university, or industry/start-up). Please include a brief justification for your mentor choices in your application materials.

Please send your application only via our online application tool and with the following documents:
  • Research statement (2–3 pages) outlining your proposed project
  • Names of two proposed mentors (see requirement above)
  • List of publications
  • Contact details for at least two referees
  • CV

18.01.2026

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

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Computational Biology
Ingolstädter Landstraße 1
85764 Neuherberg

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