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.
As a senior member of our research team, you will take intellectual and operational leadership for key technical and methodological work packages:
- Drive technical outcomes and provide quality assurance for research and software development tasks
- Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring interoperability with Medical Informatics Initiative (MII)/FHIR standards
- Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation
- Independently develop and implement research ideas within the VIOLET research framework
- Work closely with doctors and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios
- Mentor and supervise PhD candidates and student assistants
- Contribute to project governance and represent the project in steering committee meetings
Table of Content
Summary
- Application DeadlineNot Specified
- Study LevelPostdoctoral Fellowships
- SponsorTechnical University of Munich (TUM)
- School to studyTechnical University of Munich (TUM)
- Eligible CountryAll Countries
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Benefits
- The opportunity to work on cutting-edge research projects with high societal impact
- A senior, independent research role with habilitation potential
- Structured mentoring and access to Talent Management programs
- An interdisciplinary and international working environment with close collaboration between AI experts and leading doctors
- Access to unique, large-scale medical datasets and high-performance computing infrastructure (including NVIDIA B300 GPUs)
- Funding for open-access publications and conference participation
- Support in developing your own research proposals
- Employee benefits: EGYM Wellpass, corporate discounts (eg, Käfer), and bike leasing (JobBike Bavaria)
- 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
- Company pension plan through the Federal and State Pension Institute (VBL)
- Personal fulfillment through a varied and professionally demanding role with interdisciplinary collaboration
Requirements
- An outstanding doctoral degree (eg, magna cum laude or equivalent) in Computer Science, Medical Informatics, or a closely related field
- Proven track record in leading complex computer science projects and mentoring early-career researchers
- 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 (eg, PyTorch)
- Strong publication record and ability to communicate research results effectively
- 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
- Excellent communication skills in English; proficiency in German (at least B2 level) is required for project-internal and clinical collaboration
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Application Deadline
Not SpecifiedHow To Apply
Contact:
- Maximilian Tschochehei, 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: [email protected]
For more information, kindly visit TUM webpage.
