Job Description

Full-Time | TV-L E13 | Limited Contract (60 Months) | Starting 2026 | Are you passionate about making Artificial Intelligence (AI) in medicine transparent, trustworthy, and clinically relevant? Join the VIOLET Project: a pioneering research initiative to develop an explainable and interoperable methodological framework for AI in gynecological oncology.
Your tasks:
You will contribute to the development of explainable AI systems and the core methodological framework:

• Contribute to the architecture and technical design of the VIOLET research prototype
• Design and develop AI systems for guideline-compliant therapy recommendations using LLM, RAG and/or graph paradigms
• Translate narrative clinical guidelines into formal ontologies and knowledge graphs
• Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype
• Work closely with clinicians and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios
• Publish research results (minimum three peer-reviewed publications) and present at international conferences

Your profile:

• Excellent Master's degree (Computer Science, Medical Informatics, or related field)
• Final grade: at least magna cum laude (or equivalent), demonstrating research excellence
• Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture
• Strong Python programming skills and familiarity with machine learning frameworks (e.g., PyTorch)
• Deep interest in knowledge graphs, LLMs, and open science
• A passion for tackling complex scientific challenges, a creative mindset for developing novel solutions, and a meticulous approach to research and validation
• A strong analytical and problem-solving mindset, with a keen interest in applying AI to solve complex challenges in personalized medicine
• Strong communication skills in English; proficiency in German (at least B2 level) is required

What we offer:

• The opportunity to work on cutting-edge research projects with high societal impact
• An interdisciplinary and international working environment with close collaboration between AI experts and leading clinicians
• Fully funded PhD position (E13 TV-L) with a structured doctoral pathway
• Access to unique, large-scale medical datasets and high-performance computing infrastructure (including NVIDIA B300 GPUs)
• Funding for publications, international conferences, and research mobility grants
• Support from TUM Graduate School for internationalization and career development
• Benefits: EGYM Wellpass, corporate benefits, JobBike Bavaria, and VBL pension plan
• Funding for open-access publications and conference participation
• Free use of the library through a branch of the Munich City Library located in the building
• Working in the heart of Munich at Max-Weber-Platz with very good accessibility by public transport such as the subway, S-Bahn or tram

Contact:
Maximilian Tschochohei, PhD, VIOLET Project, Institute for AI and Informatics in Medicine, Chair of Medical Informatics, Technical University of Munich (TUM), Ismaninger Str. 22, 81675 Munich
Email:
Applications will be considered until the positions are filled. In cases of equal suitability, candidates with disabilities will be given preference.
We regret that we are unable to reimburse any travel expenses associated with the interview process.
We look forward to your application!
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Skills Required