Postdoctoral Researcher at the intersection of AI and Radiology

University Hospital Bonn; Deutschland; Vor Ort; EUR 60.000 - 75.000; Vollzeit

Zusammenfassung

University Hospital Bonn invites applications for a Postdoctoral Researcher in the Division for Computational Radiology & Clinical AI. The role focuses on AI-driven translational research and foundation-model applications in radiology, supported by ERC, DFG, and EKFS funding. Collaborative, high-impact research is expected.

You will work on state-of-the-art AI with medical images, contribute to clinical deployment, and publish findings at top venues, engaging with a vibrant international team.

Qualifikationen

• PhD in computer science, mathematics, physics, statistics, or related field.
• Theoretical and practical experience in deep learning and ML.
• Interest in clinical data and interdisciplinary teamwork.
• Excellent problem-solving and autonomous work style.
• Good communication in English; German knowledge at least B2 preferred.

Aufgaben

• Conduct state-of-the-art AI research with large-scale medical images, reports and clinical data.
• Collaborate with clinicians to translate research into clinical practice.
• Publish results at national and international conferences and journals.

Kenntnisse

PhD holder

Deep learning

Clinical data interest

Intercultural team

Autonomy

English + German

Ausbildung

PhD

Tools

NVIDIA DGX

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 Application Deadline 30 Apr 2027 - 23:59 (Europe/Berlin) Country Germany 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 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)

• 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

Requirements

Research Field Medical sciences & Health sciences Education Level PhD or equivalent

Research Field Medical sciences & Cancer research Education Level PhD or equivalent

Research Field Computer science & Informatics Education Level PhD or equivalent

Skills/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

Specific Requirements

• Good communication skills in English (required), and intermediate level of German (at least B2, preferred)

Languages ENGLISH Level Excellent

Languages GERMAN Level Good

Research Field Medical sciences & Health sciencesMedical sciences & Cancer researchComputer science & Informatics Years of Research Experience 1 - 4

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
• 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

Number of offers available 1 Company/Institute Division for Computational Radiology & Clinical AI, University Hospital Bonn Country Germany City Bonn Postal Code 53113 Street Baunscheidtstraße 17 Geofield