Full Professor in Artificial Intelligence in Radiological Imaging: Difference between revisions
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{{Job Announcement | {{Job Announcement | ||
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| title= | | title=Full Professor in Artificial Intelligence in Radiological Imaging | ||
| short_text=Short description | | short_text=Short description | ||
| type= | | type=Full Professor pursuant to § 98 of the Universities Act (UG) | ||
| location=Austria | |||
| location= | | deadline_year=2026 | ||
| deadline_year= | | deadline_month=06 | ||
| deadline_month= | | deadline_day=17 | ||
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| salary_start= <!-- Optional: low end of the salary bracket, or fixed salary --> | | salary_start= <!-- Optional: low end of the salary bracket, or fixed salary --> | ||
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<!-- Add the text of the announcement here below --> | <!-- Add the text of the announcement here below --> | ||
The Rectorate of the Medical University of Innsbruck invites applications for the immediate appointment of a University Professor (f/m/d) in Artificial Intelligence (AI) in Radiological Imaging pursuant to § 98 of the Universities Act (UG). The professorship will be based at the University Department of Radiology. The employment contract is limited to five years. Upon positive evaluation, a subsequent appointment to a permanent position is possible. The position is full-time (100%). | The Rectorate of the Medical University of Innsbruck invites applications for the immediate appointment of a University Professor (f/m/d) in Artificial Intelligence (AI) in Radiological Imaging pursuant to § 98 of the Universities Act (UG). The professorship will be based at the University Department of Radiology. | ||
The employment contract is limited to five years. Upon positive evaluation, a subsequent appointment to a permanent position is possible. The position is full-time (100%). | |||
The position involves representing the discipline in research and teaching. In both areas the collaboration with other organizational units and close cooperation within the Faculty of AI and Scientific Computing in Medicine (AISCM) at the Medical University of Innsbruck is expressly encouraged. | The position involves representing the discipline in research and teaching. In both areas the collaboration with other organizational units and close cooperation within the Faculty of AI and Scientific Computing in Medicine (AISCM) at the Medical University of Innsbruck is expressly encouraged. | ||
The successful candidate is expected to demonstrate a high level of scientific qualification as well as international recognition. Applicants should have an internationally recognized track record in the development of methods for the processing and analysis of radiological imaging data using AI techniques. The scientific work should encompass modern AI methods for the automated analysis of MRI, CT, or DSA images for the study of various diseases and for precision medicine (including radiomics approaches), as well as for the support of image-guided interventions. | The successful candidate is expected to demonstrate a high level of scientific qualification as well as international recognition. Applicants should have an internationally recognized track record in the development of methods for the processing and analysis of radiological imaging data using AI techniques. The scientific work should encompass modern AI methods for the automated analysis of MRI, CT, or DSA images for the study of various diseases and for precision medicine (including radiomics approaches), as well as for the support of image-guided interventions. | ||
Appointment requirements: | Appointment requirements: | ||
• Completed doctoral degree (PhD or MD/PhD) in a technical, natural science, or human medical field, or an equivalent qualification | • Completed doctoral degree (PhD or MD/PhD) in a technical, natural science, or human medical field, or an equivalent qualification | ||
• Experience and expertise in state-of-the-art AI and radiological image processing | • Experience and expertise in state-of-the-art AI and radiological image processing | ||
• a strong record of high-ranking, relevant publications | • a strong record of high-ranking, relevant publications | ||
• University-level teaching experience | • University-level teaching experience | ||
• Willingness to engage in teaching and the further development of the various degree programs at the Medical University of Innsbruck | • Willingness to engage in teaching and the further development of the various degree programs at the Medical University of Innsbruck | ||
• Several years of experience in interdisciplinary collaboration between the fields of technology/natural sciences and medicine | • Several years of experience in interdisciplinary collaboration between the fields of technology/natural sciences and medicine | ||
• Leadership and management experience, in particular leading a research group | • Leadership and management experience, in particular leading a research group | ||
• Successful, continuous acquisition of third-party funding | • Successful, continuous acquisition of third-party funding | ||
The Medical University of Innsbruck strives to increase the proportion of women among its academic staff, particularly in leadership positions, and therefore strongly encourages qualified women to apply. In cases of underrepresentation, women will be given preferential consideration when qualifications are equivalent. | The Medical University of Innsbruck strives to increase the proportion of women among its academic staff, particularly in leadership positions, and therefore strongly encourages qualified women to apply. In cases of underrepresentation, women will be given preferential consideration when qualifications are equivalent. | ||
Applications from people with disabilities and chronic illnesses are welcome and will be treated equally when qualifications are equivalent. | Applications from people with disabilities and chronic illnesses are welcome and will be treated equally when qualifications are equivalent. | ||
The application deadline is 17th June, 2026 (date of receipt). | The application deadline is 17th June, 2026 (date of receipt). | ||
Applications must be submitted exclusively in digital form (as PDF files) in German or English to the following email address: berufungen@i-med.ac.at. | Applications must be submitted exclusively in digital form (as PDF files) in German or English to the following email address: berufungen@i-med.ac.at. | ||
Applications must be complete in accordance with the formal requirements listed at https://www.i-med.ac.at/berufungen. | Applications must be complete in accordance with the formal requirements listed at https://www.i-med.ac.at/berufungen. | ||
Revision as of 10:19, 12 May 2026
Full Professor in Artificial Intelligence in Radiological Imaging
Short description
| Job type: | Full Professor pursuant to § 98 of the Universities Act (UG) |
| Job location: | Austria |
| Deadline: | 2026-06-17 |
The Rectorate of the Medical University of Innsbruck invites applications for the immediate appointment of a University Professor (f/m/d) in Artificial Intelligence (AI) in Radiological Imaging pursuant to § 98 of the Universities Act (UG). The professorship will be based at the University Department of Radiology.
The employment contract is limited to five years. Upon positive evaluation, a subsequent appointment to a permanent position is possible. The position is full-time (100%). The position involves representing the discipline in research and teaching. In both areas the collaboration with other organizational units and close cooperation within the Faculty of AI and Scientific Computing in Medicine (AISCM) at the Medical University of Innsbruck is expressly encouraged. The successful candidate is expected to demonstrate a high level of scientific qualification as well as international recognition. Applicants should have an internationally recognized track record in the development of methods for the processing and analysis of radiological imaging data using AI techniques. The scientific work should encompass modern AI methods for the automated analysis of MRI, CT, or DSA images for the study of various diseases and for precision medicine (including radiomics approaches), as well as for the support of image-guided interventions.
Appointment requirements:
• Completed doctoral degree (PhD or MD/PhD) in a technical, natural science, or human medical field, or an equivalent qualification
• Experience and expertise in state-of-the-art AI and radiological image processing
• a strong record of high-ranking, relevant publications
• University-level teaching experience
• Willingness to engage in teaching and the further development of the various degree programs at the Medical University of Innsbruck
• Several years of experience in interdisciplinary collaboration between the fields of technology/natural sciences and medicine
• Leadership and management experience, in particular leading a research group
• Successful, continuous acquisition of third-party funding
The Medical University of Innsbruck strives to increase the proportion of women among its academic staff, particularly in leadership positions, and therefore strongly encourages qualified women to apply. In cases of underrepresentation, women will be given preferential consideration when qualifications are equivalent.
Applications from people with disabilities and chronic illnesses are welcome and will be treated equally when qualifications are equivalent.
The application deadline is 17th June, 2026 (date of receipt).
Applications must be submitted exclusively in digital form (as PDF files) in German or English to the following email address: berufungen@i-med.ac.at. Applications must be complete in accordance with the formal requirements listed at https://www.i-med.ac.at/berufungen.
In case of inconsistencies between the German and the English versions of this tender, the legally binding version is the German one.