Tenure track professorships: A big boost for science

Are you one of the best (junior) researchers in the world and want to raise the level of basic and clinical research with your pioneering achievements? The best (junior) researchers from around the world who hold their own in the selection procedure have a unique opportunity as tenure track professors at Med Uni Graz: they can establish a working group in their field of research in the state-of-the-art, point-of-care environment of Medical Science City Graz and share their special expertise with the international research community over the course of a long-term scientific career. The position is initially limited to six years, during which the goals of the qualification agreement must be met. If the candidate demonstrates outstanding and remarkable achievements, an evaluation of the qualification agreement may be possible sooner. When the defined goals have been achieved, an unlimited term contract as an associate professor is concluded, which entails belonging to the professorial curia as well as taking on responsibility for one's own field of research. On to new research adventures!

Insight into our work

Julia Kargl is an assistant professor at the Division of Pharmacology.

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.

back

Informationen zu der steuerlichen Zuzugsbegünstigung finden Sie hier.

Information about the application documents