About us:

We are a team of international researchers led by Prof. Stefan Feuerriegel to push the frontier of AI for decision-making. Our team is highly diverse and comes from different countries and areas (e.g., machine learning, statistics, economics, engineering). We develop, implement, and evaluate new AI algorithms to improve data-driven decision-making. Our team publishes regularly in the top-tier AI/ML conferences (e.g., NeurIPS, ICML, KDD) but also in application-oriented outlets (e.g. Nature Medicine, Lancet Digital Health, npj Digital Medicine). Importantly, our institute has a double affiliation with the Faculty of Mathematics, Informatics, and Statistics, which allows us to pursue a broad vision aimed at impact across teaching and research.

Please visit our website for further information about us.

We are looking for you:

Research Assistant (PhD Candidate) in Artificial Intelligence in Medicine (m/f/x)

in Munich

Your tasks and responsibilities:

We are seeking highly motivated candidates with a passion for research and a drive to make groundbreaking contributions in the field of AI in medicine. Research outlook is a top-priority for the position. Candidates will also gain experience in teaching at the undergraduate and/or graduate level and may supervise student theses.

We aim to advance decision-making through new AI/ML tools medical applications. Here, PhD students regularly publish in various high-impact outlets (e.g., Nature Communications, Nature Medicine,). If desired, PhD students can collaborate actively with university hospitals and research partners (e.g., Harvard Medical School, Cambridge Centre for AI in Medicine) to solve the big problems of time. The focus is to show the value created by new AI/ML tools and to apply them in medical practice. This includes:

• Causal ML for treatment recommendation
• AI/ML for predictive biomarker discovery, patient trajectory modelling, and synthetic data generation.
• AI agents to support medical reasoning

The position is grant-funded and involves working with actual clinical stakeholders to create real-world impact.

Your qualifications:

The candidate has a Master’s degree in one of the following subjects:

• Mathematics
• Statistics
• Computer Science
• Data Science
• Machine Learning
• Bioinformatics

Our team language is English, so fluency in English is required.

Benefits:

You will be in a motivated, international team with a very vibrant atmosphere. Our offices are in central Munich. During this time, participation in conferences, summer schools, and voluntary exchange programs are also supported. Work is almost entirely research-centered with limited teaching duties.

We work with an international network of researchers (e.g., Harvard, Yale, NYU, Cambridge) to develop solutions for today’s and tomorrow’s global challenges. It is common for successful candidates to visit our international network for research stays at their premises.

Past graduates have landed top positions in both industry (e.g., BCG, startups with multi-million seed funding) and academia (e.g., University of Oxford, ETH Zurich).

The position is initially for 2 years, with an option to extend until the end of the PhD. The starting date can be set individually, based on mutual agreement.

LMU Munich is an equal opportunity employer, committed to enhancing the diversity of its faculty. We encourage female candidates to apply.

Also possible in a part-time capacity.

Contact:

We look forward to receiving your application. We have a lightweight application procedure (CV and transcript only) to minimize effort on both sides. A cover letter, internship reports, or certificates are NOT required. We only accept applications submitted via email to AI-application@som.lmu.de by 04.01.2027. Please include the keyword “AIMedicine” in the subject line of your email.

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