PhD Position in Trustworthy Biomedical AI (f/m/x)

Helmholtz Zentrum München; Deutschland; Vor Ort; EUR 30.000 - 42.000; Vollzeit

Benefits dieser Stelle

Partial Home Office possible

30 days annual leave

Relocation assistance

Zusammenfassung

Helmholtz Munich invites applications for a PhD Candidate position in Trustworthy Biomedical AI. You will shape a doctoral project in a collaborative setting, designing AI methods with reproducible research practices and open-source software.

You will publish in ML and bioinformatics venues, contribute to BioCypher-like ecosystems, and work with experts across Helmholtz AI, the Computational Health Center, and the DZD network. Strong Python skills and English fluency are essential.

Qualifikationen

• Master's degree or near completion in a related field.
• Strong Python programming and software development habits (git, testing, documentation).
• Exposure to ML or NLP and LLMs is a plus.
• Self-directed experience demonstrated via portfolio, OSS, or a thesis/side project.
• Fluent written and spoken English.

Aufgaben

• Define and drive your doctoral project within the group scope.
• Design, implement, and evaluate methods and systems with open-source practices.
• Publish at leading ML and bioinformatics venues; present at international meetings.
• Contribute to the group’s open-source ecosystem and collaborate across networks.
• Collaborate with domain experts across institutional networks.

Kenntnisse

Python

Git

Testing

Documentation

NLP

LLMs

Ausbildung

Master's degree in Computer Science / ML / Bioinformatics

Jobbeschreibung

PhD Position in Trustworthy Biomedical AI (f/m/x)

102986

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 AI, the artificial intelligence platform of the Helmholtz Association, aims to democratize AI and enhance its capabilities to address cutting‑edge scientific questions and major societal challenges. As an application‑driven platform, we accelerate scientific discovery across the Helmholtz Association by enabling the development and implementation of AI solutions.

We host dedicated research groups and consultancy teams that are at the heart of our activities, ensuring the broad dissemination of AI methods and the integration of data‑driven research across disciplines. We foster collaboration, ensure access to key resources and expertise, and empower researchers to harness the full potential of artificial intelligence.

The Accessible Biomedical AI group builds open, trustworthy AI for biomedicine. Our work spans three connected areas:

• Representing biomedical knowledge in forms that machines can reason over.
• Building agentic and co‑scientist systems that use that knowledge.
• Developing the evaluation methods that tell us whether any of it can be trusted.

We sit at the meeting point of machine learning methods and biomedical application, embedded in Helmholtz AI, the Computational Health Center, and the German Center for Diabetes Research (DZD). We are working in the open by sharing code and methods with the research community. Our tools (BioCypher, BioChatter, BioContextAI) are used by research groups worldwide, and we hold ourselves to reproducible, well‑tested, community‑facing engineering.

As a PhD Candidate (f/m/x) you will define and drive your own doctoral project within the group's scope. You set the research questions and build the methods and systems to answer them. You will work in a team with individual supervision.

Your tasks

• Formulate a doctoral project around one or more of the research directions below, or a well‑argued proposal of your own that fits the group's scope.
• Design, implement, and evaluate methods and systems, working openly through open-source software and reproducible research practices.
• Publish at leading ML and bioinformatics venues and present your work at international meetings.
• Contribute to the group's open-source ecosystem and the wider community around it.
• Collaborate across the method and domain expertise available in our institutional networks.

Your profile

• Education: Master's degree (obtained or near completion) in Computer Science, Machine Learning, Data Science, Bioinformatics, Computational Biology, or a related field.
• Technical skills: Strong Python and a working git, testing, and documentation habit; depending on your chosen direction, experience with machine learning, NLP, or LLMs is an advantage.
• Self‑direction: Evidence that you can scope and drive work on your own (for instance, a portfolio, open‑source contributions, or a thesis or side project you led yourself).
• Domain interest: Curiosity about biomedicine; a domain background is welcome but not required, we will help you build it; candidates coming from biology or medicine with solid Python skills are explicitly welcome.
• Communication: Fluent written and spoken English.
• Disposition: Comfort with open‑ended problems and the ability to turn a vague question into a concrete plan.

Research directions

• Trustworthy AI and evaluation, reliability and robustness (e.g., how do we know when an agent's literature synthesis is wrong?)
• Agentic and co‑scientist systems, orchestration and epistemic processes (e.g., how should a co‑scientist decide what to verify before it acts?)
• Knowledge representation, grounding, representation learning (e.g., what graph or embedding structure lets an LLM ground its claims?)

This position provides the opportunity for you to build specialist knowledge whilst developing key professional experience, both of which will help you to make strides in your scientific career.

Remuneration and social security benefits are based on the German Collective Wage Agreement for Public‑Sector Employees at Federal Level (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of receiving an allowance of max. 25% if the applicable conditions are met. The position has an (initial) fixed term of three years but may be extended under certain circumstances.

We offer:

1. A group where you own your research and work in the open.
2. Integration into Helmholtz AI, the Computational Health Center, and the DZD network, with access to compute, curated biomedical corpora, and knowledge graphs.
3. The chance to contribute to open‑source frameworks and real deployments used well beyond our lab.
4. Close mentoring from the group and structured graduate‑school training toward a TUM doctorate.

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

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)
Helmholtz AI
Ingolstädter Landstraße 1
85764 Neuherberg