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 – Multimodal Models
Full- or Part-Time | Limited Contract (24 Months) | Starting June 1, 2025
Are you passionate about building state-of-the-art AI that positively impacts cancer diagnostics and treatment? We are seeking a highly motivated Computer Scientist to paritcipate in the development of a novel Multimodal Foundation Model for Cancer Imaging and Biomarker Discovery. This is a unique opportunity to work with large-scale, diverse datasets and contribute to a foundational AI technology with high translational potential in oncology.
- You will play an integral role designing and implementing a cutting-edge foundation model that integrates high-dimensional medical imaging data (CT, MRI) with unstructured radiological text reports.
- You will develop and implement robust pipelines for the curation, integration, and preprocessing of heterogeneous data from diverse sources, including clinical PACS systems and large-scale research cohorts (e.g., NAKO, UK Biobank, TCIA). This includes tasks like image stitching, harmonization, and de-identification. All data sources are already secured, so development starts at day zero.
- Implement and refine innovative learning strategies, including contrastive learning (anatomical, multi-view, pathological contrasts) and weakly supervised approaches, to train a model for robust feature extraction and generalizability. You'll explore novel cross-attention mechanisms for effective image-text fusion.
- Your work will enable the extraction of generalizable, image-based biomarkers from the learned representations, aiming to improve clinical decision-making in oncology.
- Develop and optimize data loading and training infrastructure (PyTorch, MONAI) for efficient handling of large 3D medical datasets and high-performance GPU clusters, including modality-specific data augmentation and adaptive sampling algorithms.
- Work within a dynamic, interdisciplinary team of clinicians and AI researchers, and disseminate your findings through high-impact publications and conference presentations.
- 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 medical image analysis (e.g. with MONAI).
- A passion for tackling complex scientific challenges, a creative mindset for developing novel solutions, and a meticulous approach to research and validation.
- 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
- 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)