Postdoctoral Researcher at the intersection of AI and Radiology

University Hospital Bonn; Deutschland; Vor Ort; EUR 53.000 - 57.000; Vollzeit

Zusammenfassung

A leading research institution is seeking a Postdoctoral Researcher for AI-driven translational research in radiology. Candidates must have a PhD in a related field and experience with deep learning. The role includes conducting state-of-the-art research, collaborating with clinicians, and publishing results. The position offers competitive compensation and access to advanced resources. Interested applicants should apply via email.

Leistungen

Access to large-scale datasets

Collaborative opportunities with research institutes

Access to advanced computing resources

Opportunities to attend international conferences

Qualifikationen

• PhD in a relevant field is required.
• Experience in deep learning and machine learning is necessary.
• Autonomous with excellent problem-solving skills.

Aufgaben

• Conduct AI research with large-scale medical images and data.
• Translate research into clinical practices.
• Publish work in reputable conferences and journals.

Kenntnisse

Deep learning

Machine learning

Good communication in English

Intermediate German (B2)

Ausbildung

PhD in computer science, mathematics, physics, statistics or related field

Jobbeschreibung

Organisation/Company University Hospital Bonn Department Neuroradiology Research Field Medical sciences » Health sciences Medical sciences » Cancer research Computer science » Informatics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 31 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101171462 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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 field
• 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)

Where to apply

E‑mail [e-mail]

Additional Information

• 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
• Division has exclusive access to powerful computing resources (NVIDIA DGX 1 × B200, 1 × H200 clusters) and additional high‑performance workstations (with RTX A6000 GPUs, etc.)
• Access to the latest medical imaging scanners (multiple 3 T MR scanners, a 0.065 T Swoop hyperfine scanner and a 7 T 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 and within MICCAI BRATS
• Opportunities to attend national and international conferences (MICCAI, CVPR, …)
• Potential for involvement in industry (research) collaborations