Overview
The University of Duisburg-Essen is inviting applications for a W2 Professorship in Surgical AI at the Institute of Artificial Intelligence in Medicine (IKIM). This position aims to foster collaboration between AI research and surgical disciplines, particularly in areas such as otorhinolaryngology and head and neck surgery. The role is significant for advancing AI applications in clinical settings, enhancing diagnostic and therapeutic procedures.
Background & Relevance
Surgical AI is an emerging field that integrates artificial intelligence into medical practices, particularly surgery. This integration is crucial as it can lead to improved patient outcomes through enhanced diagnostic accuracy, better surgical planning, and more effective intraoperative decision-making. The collaboration between AI and clinical medicine is essential for developing innovative solutions that address real-world medical challenges, making this professorship a vital addition to the academic landscape.
Key Details
- Position: W2 Professorship in Surgical AI
- Institution: University of Duisburg-Essen, Medical Faculty
- Focus Areas: Image-based diagnostics, intraoperative decision support, patient-centered AI applications
- Application Email: Berufungen@uk-essen.de
- Application Questionnaire: Application Form
Eligibility & Participation
This position is targeted at nationally and internationally recognized researchers with expertise in clinical or image-based artificial intelligence. Candidates should possess a relevant doctoral degree and have experience in applying AI methods within medical and surgical contexts. The role emphasizes collaboration with surgical departments, making it ideal for those committed to interdisciplinary research.
Submission or Application Guidelines
Interested candidates should submit their application via email to Berufungen@uk-essen.de and complete the provided questionnaire. The selection process will consider the following criteria:
– Subject Expertise: A doctoral degree in a relevant field and demonstrated research expertise in clinical or image-based AI.
– Publications: A strong publication record in high-ranking, peer-reviewed journals.
– Third-Party Funding: Experience in acquiring and managing competitive research funding, preferably from the German Research Foundation (DFG).
– Cooperations: Ability to align with the research priorities of the University of Duisburg-Essen and collaborate with clinical partners.
– Teaching: A commitment to high-quality teaching and innovative educational methods.
– Supervision: Experience in supervising doctoral candidates and supporting early-career researchers.
– Leadership: Demonstrated leadership experience in establishing and developing research groups.
More Information
The establishment of this professorship represents a strategic initiative to connect AI innovation with clinical practice. By focusing on surgical applications, the role aims to create a research and application cluster that enhances the integration of AI technologies in healthcare. This initiative is expected to elevate the profile of the University of Duisburg-Essen in the international research community, particularly in the field of surgical AI.
Conclusion
This W2 Professorship in Surgical AI offers a unique opportunity for qualified researchers to contribute to the integration of artificial intelligence in clinical practice. Interested candidates are encouraged to apply and become part of a pioneering effort to advance surgical medicine through innovative AI solutions.
Category: Academic Jobs
Tags: surgical ai, medical engineering, clinical research, image-based diagnostics, otorhinolaryngology, data science, university of duisburg-essen, ai applications, third-party funding, teaching, research leadership
