Jobbeschreibung
- You work on research projects on advanced computed tomography imaging using deep learning techniques
- You will develop software for advanced image analysis based on multiparametric imaging characteristics
- You will develop and train clustering algorithms using machine and deep learning techniques
- You work in a vibrant and engaging research environment comprising radiologists, clinician scientists from radiology and data scientists from the Institute for Diagnostic and Interventional Radiology
- You contribute to research publications targeting high impact imaging journals as well as follow-up grant applications
- Completed Masters degree in Data Science, Physics, Informatics, Mathematics or a comparable field of expertise
- Excellent academic track record with experience in machine learning, deep learning, software development and preferably medical image processing and acquisition
- Programming skills with Python and knowledge of prominent Python packages (e.g. pandas) is a must, C/C++ and/or Matlab are a plus.
- Knowledge in DL packages such as TensorFlow, Keras, PyTorch
- Statistical background including R is favorable
- Experience with Linux and Windows environments
- High-Performance Computing experience is a plus
- Outstanding team work and multi-tasking capabilities
- Motivation to push forward ambitious, large-scale research projects
- Fluent in English and ideally in German
- Opportunity and support to enroll in the IPHS graduate school at the Medical Faculty to pursue a doctor philosophiae (PhD) in Health Sciences.
- Attractive scientific environment comprising one of the best renown CT research groups of the country
- Working in a multidisciplinary, exciting team including radiologists and data scientists
- Lead your own project but also contribute to other colleagues projects
- Close collaboration with other international institutions
- Extensive opportunities for academic career development and potential to qualify for postdoc positions at our Institution
- Friendly, diverse, open-minded and vibrant working atmosphere in a dynamic and ambitious Institute and team
- Options for deferred compensation and pension scheme and other corporate benefits
Working at the University Hospital Cologne and the Medical Faculty means helping to shape the future - the future of medicine, of patients and, of course, your own future. You benefit from 59 clinics and institutes as well as numerous other departments and facilities and more than 10,000 jobs. The Faculty of Medicine of the University of Cologne and the University Hospital Cologne assume important social tasks in research, teaching and patient care. A close network with many university and non-university partners guarantees an internationally successful science and the excellent education of our students.
The is one of the most modern radiology departments in Europe, with currently more than 130 employees and state-of-the-art equipment. We offer a wide range of examination methods from all clinical focus areas, including the subspecialties of neuroradiology and pediatric radiology. In addition, as part of the University Hospital of Cologne, we perform tasks in research and teaching. Innovations in research as well as technical and methodological developments directly benefit our patients.
Your perspective is to join a highly productive and well-renown research group in advanced computed tomography (CT). You will be developing an advanced image analysis software that leverages state-of-the art CT and artificial intelligence to allow for automated image processing and intepretation. Here, you will work hand in hand with both, the local data science team and radiologists. Furthermore, a close cooperation with developers and scientists from industry is maintained. You are encouraged to apply for enrollment in the graduate school at the medical faculty of the University of Cologne to pursue your PhD in Health Sciences (Interdisciplinary Program in Health Sciences, IPHS). Studying within the IPHS includes a curriculum of both, fixed and flexible elements, that strives for tailored professional and personal development.
Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance.
People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification.
Contact:
Priv.-Doz. Dr. Nils Große Hohkamp+49 221 478-39328
Application deadline: 15.01.2023
Postal address:
Universitätsklinikum Köln AöRPA27
Geschäftsbereich Personal
Job-ID: 00003591
50937 Köln
Extra Informationen
- Status
- Inaktiv
- Standort
- Köln
- Jobart
- Karrierestarter
- Tätigkeitsbereich
- Medizin / Gesundheitswesen
- Führerschein erforderlich?
- Nein
- Auto erforderlich?
- Nein
- Motivationsschreiben erforderlich?
- Nein
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