The
Division of General, Visceral and Transplant Surgery
is looking for a
Tenure Track Professor of Artificial Intelligence in Surgery
Identification number: KA-ALLGC-2024-003055
Application time:
01/16/2025
We are looking for an excellent researcher with great potential to develop an internationally recognized research agenda in the field of artificial intelligence in surgery. The successful candidate is expected to conduct research and teaching in the field of artificial intelligence in surgery. The new position will complement the research activities of the Division of General, Visceral and Transplant Surgery.
A key responsibility will be to address critical issues related to trustworthy AI in surgical settings, including ensuring data privacy, enhancing transparency and improving the algorithmic fairness and explainability of AI systems.
The initial appointment is limited to six years. After the conclusion of a qualification agreement, the career advancement goal is to transfer to a tenured position as an associate professor (tenure track professor pursuant to § 99 para. 5 and 6 of the Universities Act). If the candidate demonstrates outstanding and remarkable achievements, the qualification agreement may be fulfilled more quickly.
Core duties and responsibilities:
- Conducting cutting-edge research in the field of artificial intelligence in general, visceral and transplant surgery
- Establishing and leading an internationally recognized research group
- Teaching undergraduate and graduate courses, supervising diploma and PhD students and mentoring and promoting young researchers
- Acquiring third-party funding and taking the lead in such research projects
- Writing and publishing high-quality scientific papers in reputable journals
- Establishing and maintaining networks through local, national and international research collaborations
- Supporting scientific and public outreach in the research area (public lectures, media, etc.)
Successful candidates must have the following qualifications:
- PhD or equivalent doctoral degree in computer sciences or a related field
- Profound research expertise in human-centered AI, data science and machine learning
- Proven track record of high-quality publications
- Peer-reviewed research grants or other third-party funding
- Proven track record in applying AI techniques and advanced data analysis, with the ability to integrate AI methodologies into various scientific disciplines. Expertise preferred in any of the following areas: machine learning for predictions, data-driven decision support, multimodal data analysis, large language models
- Previous experience in teaching and/or (co)supervising pre- and postgraduate students (depending on the applicant’s career stage)
- Postdoctoral research fellowship abroad or at a different institution than where the PhD was completed of at least 6 months
- High level of proficiency in both written and spoken German and English (equivalent to proficiency level C1 of the Common European Framework of Reference for Languages)
The ideal candidate has the following profile:
- Ability to teach complex AI topics in relation to surgical applications to an interdisciplinary audience including surgeons, medical students and researchers
- Willingness to cooperate, open-mindedness and ability to work in a team
- Communication and social skills
- Outstanding level of motivation
- Systematic and analytical mindset, excellent organizational skills
Entry date:
04/01/2025
initially limited to 6 years, becoming a tenured position when the qualification agreement is met
Level of employment: 100%
Classification in employment group
A2
according to the collective agreement for university employees.
Application: The Medical University of Graz invites all applicants to submit their application online by 16 January 2025.
Please note that we can only consider complete applications that have been received by the application deadline. A list of the documents to be submitted can be found here.
Statutory information: The minimum remuneration is based on the collective agreement for university employees (KV § 49.2).
Scheduled date for job interview: 10 March 2025 at the Medical University of Graz
The Medical University of Graz is committed to increasing the proportion of women in management positions at universities in Austria and encourages qualified women to apply. Among applicants with equal qualifications, female applicants will be given priority. We also welcome applications from qualified individuals with disabilities and encourage them to apply.
Apply now
Due to technical conditions, there may be restrictions on online applications. If you cannot access the application form using "Apply Now", please send your application documents to bewerbung@medunigraz.at.
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