Postdoctoral Researcher at the intersection of AI and Radiology

  • Division for Computational Radiology & Clinical AI, University Hospital Bonn
  • Mit Berufserfahrung
  • Öffentliche Institution
  • Bonn (Hybrid)
  • https://ccibonn.ai
  • 100% TVL E-13, 3 years (TVL E-14 is possible with supervision work)
  • Vollzeit
  • Englisch

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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 GitHub organizations (OpenRadX 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

• PhD in computer science, mathematics, physics, statistics, or a related fields
• Theoretical and practical experience in deep learning, and machine learning
• Interest in clinical data and working with interdisciplinary teams
• Team player with passion to work in an intercultural environment
• High degree of autonomy and excellent problem-solving skills
• Good communication skills in English (required), and intermediate level of German (at least B2, preferred)

Your Benefits

• 100% of TVL E-13 with 3 years (TVL E-14 is possible with supervision work)
• Access to large-scale multicentric, multimodal (images, reports) datasets
• The division has exclusive access to the latest and powerful computing resource (NVIDIA DGX (1x B200, 1x H200) clusters), plus additional high-performance workstations (with RTX A6000 GPUs, etc)
• Access to the latest medical imaging scanners (multiple of the latest 3T MR scanners, a 0.065T Swoop hyperfine scanner and a 7T MR scanner)
• Opportunities to collaborate with other research groups and institutes, such as DKFZ (German Cancer Research Center), DZNE (German research center for Neurodegenerative Diseases), Mathematics Department at the University of Bonn, within EORTC (European Organization for Research and Treatment of Cancer) and within MICCAI BRATS
• Opportunities to attend national and international conferences (MICCAI, CVPR,…)
• Potential for being involved in industry (research) collaborations

  • Fachbereiche

    Informatik, Data, KI, Lebens- und Gesundheitswissenschaften, Medizin, Naturwissenschaften & Mathematik

  • Kontakt

    Division for Computational Radiology & Clinical AI, University Hospital Bonn

    Baunscheidtstraße 17, 53113 Bonn, Germany
    contact@ccibonn.ai

    Philipp Vollmuth
    +49 228 287 16505
    philipp.vollmuth@ukbonn.de

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