Postdoc Position Available for Advancing Foundation Models in Radiology (funded by ERC) (m/f/d) in Bonn - Stellenangebot
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Postdoc Position Available for Advancing Foundation Models in Radiology (funded by ERC) (m/f/d) | Beschreibung des Berufsfeldes Wissenschaftliche/r Mitarbeiter/in (Hochschule) bei BerufeNET |
| Beruf: | Postdoc Position Available for Advancing Foundation Models in Radiology (funded by ERC) (m/f/d) |
|---|---|
| Art der Stelle: | Arbeitsplatz |
| Bewerbungfrist (von - bis): | 2025-06-11+02:00 - |
| Arbeitsantritt (von - bis): | 2025-06-12+02:00 - |
| Anforderungen: | The University Hospital Bonn (UKB) is a maximum care hospital with more than 1,300 beds. Our more than 9,000 employees take on tasks in research, teaching and patient care as well as in public health at the highest level. In the science ranking (LOMV) and in the economic result, the UKB is number 1 of the university hospitals in NRW and in 2021 had the third highest case mix index of the university hospitals in Germany. The following full-time (38.5 hours/week) is to be filled as soon as possible in the Division for Computational Radiology & Clinical AI (CCIBonn.ai) of the University Hospital Bonn: Postdoc Position Available for Advancing Foundation Models in Radiology (funded by ERC) (m/f/d) Due to funding regulations, the position is limited to 3 years with the possibility of extension. The Postdoc position will start from 1st July 2025. We are looking for multiple Postdocs, PhD candidates, and Master’s thesis students to join our group at CCIBonn.ai (Division for Computational Radiology & Clinical AI). This is an opportunity to delve into AI-driven translational research funded by European Research Council (ERC) and contribute to significant advancements in the clinical application of foundation models for radiology, encompassing Computer Vision and Natural Language Processing (NLP) algorithms. 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). You can check out our work on our GitHub organizations (OpenRadX (https://github.com/openradx) and CCIBonn (https://github.com/CCI-Bonn) ). 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. Tasks: · 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 Requirements: · PhD in computer science, mathematics, physics, statistics, or 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 · Important: Candidates with good communication skills in German (equivalent to B2 at the time of starting) will be given preference We offer: · 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 (2x NVIDIA DGX H100 cluster). Each group member is provided with powerful personal 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 (e.g. MICCAI, CVPR) · Potential for being involved in industry (research) collaborations **** We are committed to diversity and equal opportunities. Our goal is to increase the proportion of women in areas where women are underrepresented and to particularly promote their careers. We therefore urge relevantly qualified women to apply. Applications are treated in accordance with the State Equal Opportunities Act. Applications from suitable people with proven severe disabilities and those of equal status are particularly welcome. How to apply: Do you meet our requirements and are you looking for a varied and challenging job? Do not hesitate and send us your application to contact@ccibonn.ai (https://mailto:contact@ccibonn.ai) (cc: aditya.rastogi@ukbonn.de (aditya.rastogi@ukbonn.de) ), mentioning the role you want to apply for along with your CV and a short cover letter (~ 1 page, about yourself, not included in CV, and your research interest) until two weeks. Division for Computational Radiology & Clinical AI University Hospital Bonn Venusberg-Campus-1, Building 81 53127 Bonn Email: contact@ccibonn.ai www.ccibonn.ai Folgen Sie uns auf Instagram: **** |
| Arbeitszeit: | Vollzeit, befristet auf 36 Monate , |
| Arbeitsort: | 53127 Bonn |
| Chiffre: | 10001-1001492900-S |
| Zust. Arbeitsagentur: | Agentur für Arbeit Bonn contact@ccibonn.ai |
| Firmenanschrift: | Universitätsklinikum Bonn AöR http://www.ukbonn.de Venusberg-Campus 1 Bonn 53127 |
| Telefon: | -- |
| E-Mail: | contact@ccibonn.ai |
| URL: | http://www.ukbonn.de |
| Stellenbeschreibung: | |
| Zuletzt bearbeitet am: | 2025-06-12 |
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