Jobbeschreibung
Your university hospital in the heart of Munich
We are the TUM Klinikum Rechts der Isar and a reliable employer for around 6,600 employees. As a university hospital, we are dedicated not only to patient care but also to research and teaching - in line with our mission statement "Knowledge creates healing" and enjoy an excellent reputation both nationally and internationally. 160 different professional groups work hand in hand to provide our patients with optimal treatment.
Postdoc / PhD in Computer Science – AI-Powered Digital Twins
Full- or Part-Time | Limited Contract (24 Months) | Starting June 1, 2025
Are you driven to leverage Large Language Models (LLMs) and multimodal data analysis, to create personalized medicine solutions? Join our ambitious GO-TWIN project to develop an innovative AI-powered Digital Twin model for women with ovarian cancer. You will play a crucial role in integrating diverse hospital data to provide personalized treatment strategies and improve patient outcomes.
- Design and build robust, HL7 FHIR-compatible pipelines for the automated extraction, integration, and harmonization of multimodal data from various hospital sources (clinical records, DICOM images, genomic data, pathology reports).
- Implement privacy-preserving LLMs (e.g., Llama-3-based models) for sophisticated information extraction from unstructured clinical texts and scientific literature to enrich the digital twin. This includes prompt engineering and potentially guided generation techniques.
- Contribute to the architecture and development of the "digital twin" platform, enabling the dynamic representation and analysis of individual patient trajectories.
- Explore and implement XAI methods to ensure transparency and interpretability of AI-driven recommendations for clinical decision support.
- Work closely with clinicians and data scientists to ensure the developed tools meet clinical needs and are validated in real-world settings. Publish your findings in leading journals and conferences.
- An excellent Master's degree (for PhD position) or PhD (for Postdoc position) in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proven, advanced programming skills, particularly in Python, and experience with deep learning frameworks (PyTorch highly preferred).
- Demonstrable experience in developing and training deep learning models, ideally with a focus on large language models.
- 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.
- You are passionate about open science and open source.
- The opportunity to work on cutting-edge research projects with high societal impact
- Access to unique, large-scale medical datasets and high-performance computing infrastructure (including NVIDIA A100/H100 GPUs)
- An interdisciplinary and international working environment with close collaboration between AI experts and leading clinicians. Funding for conference travel and publications
- EGYM well pass, corporate benefits and discounts (e.g. Käfer), cafeteria, sports and cultural offers, company bike
- 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