Tenure Track Professor of Artificial Intelligence
vor 1 Monat
Identification number: KA-ALLGC-2024-003055
Application time: 01/16/2025
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.)
- 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
- 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)
- 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.
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
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