Postdoctoral Researcher at the intersection of AI and Radiology
Division for Computational Radiology & Clinical AI, University Hospital Bonn
100% TV-L E-13, 3 years (TV-L E-14 is possible with supervision)
We are seeking a Postdoctoral Researcher to join our group at CCIBonn (Division of Computational Radiology & Clinical AI, University Hospital Bonn). This position offers the opportunity to engage in cutting-edge, AI-driven translational research — supported by the European Research Council (ERC), the German Research Foundation (DFG), and the Else Kröner-Fresenius Foundation (EKFS) among others. The successful candidate will contribute to advancing the clinical deployment of foundation models in radiology, spanning both Computer Vision and Natural Language Processing (NLP) applications. Our research group has consistently contributed to reputed journals and conferences, including The Lancet Oncology, The Lancet Digital Health, Nature Communications and Radiology among others. We are developing various tools to support our research projects - You can check out our work on our Git Hub organizations (Open Rad X and CCIBonn). This is a great opportunity to dive into AI-driven translational research and contribute to significant advancements in the clinical application of Computer Vision or NLP algorithms.
Your Responsibilities
Conduct state-of-the-art AI research with large-scale medical images, reports and clinical data
Work closely with clinicians to translate research work into clinical practices
Publish your work in national and international conferences and journals
Your Qualifications
Ph D in computer science, mathematics, physics, statistics, or a related field
Theoretical and practical experience in deep learning, and machine learning
Interest in clinical data and working with interdisciplinary teams
Team player with a passion to work in an intercultural environment
High degree of autonomy and excellent problem-solving skills
Good communication skills in English (required), and an intermediate level of German (at least B2, preferred)
100% TV-L E-13 with 3 years (TV-L E-14 is possible with supervision)
Access to large-scale multicentric, multimodal datasets (images, reports)
The division has exclusive access to the latest and powerful computing resources (NVIDIA DGX clusters, etc.)
Access to the latest medical imaging scanners (multiple 3 T MRI scanners, a 0.065 T swoop Hyperfine scanner and a 7 T MRI scanner)
Opportunities to collaborate with other research groups and institutes, such as DKFZ, DZNE, Mathematics Department at the University of Bonn, within EORTC and MICCAIBRATS
Opportunities to attend national and international conferences (MICCAI, CVPR, …)
Potential for involvement in industry (research) collaborations
Computer Science, Data, AI, Life and Health Sciences, Medicine, Natural Sciences & Mathematics
Kontakt
Division for Computational Radiology & Clinical AI, University Hospital Bonn
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