University Assistant (prae doc) – AI in Dentristy (m/f/x)
With around 6.500 employees and 8.600 students, the Medical University of Vienna is one of the largest top-level biomedical research and teaching institutions in Europe. The University Clinic of Dentistry is looking for a part-time (30 hours per week) University Assistant Prae-Doc (m/f/x). This is a fixed term position/contract for a duration of 3 years. The successful candidate will join an interdisciplinary research team at the Competence Center Artificial Intelligence in Dentistry (https://www.unizahnklinik-wien.at/en/research/research-units/competence-center-artificial-intelligence/) to develop machine learning models for the diagnosis of temporomandibular disorders (TMD) based on jaw motion time series data. Moreover, the successful candidate will be affiliated with the Comprehensive Center AI in Medicine (https://caim.meduniwien.ac.at/), a collaboration of all AI-focused groups at the Medical University of Vienna, allowing for interdisciplinary exchange.
This project aims to improve the diagnostic accuracy of TMD by leveraging explainable AI approaches on kinematic data collected during functional jaw movements. The candidate will work closely with clinical experts and contribute to the development of novel data-driven tools for personalized diagnostics in orofacial medicine. The project is funded by the Austrian Research Promotion Agency (FFG) and carried out in close collaboration with industry partner Gamma Dental (https://www.gammadental.com/) and scientific partner VieSID (https://www.viesid.com/), offering valuable opportunities for applied research and technology transfer.
Your Tasks
- Independent scientific work within an FFG-funded project on AI-supported diagnosis of temporomandibular joint disorders
- Development and implementation of explainable machine learning models for time series data from jaw motion tracking
- Close collaboration with clinical experts and partners Gamma Dental and VieSID
- Processing, analysis, and interpretation of complex biomechanical and clinical data
- Publication of scientific results and presentation at conferences
- Participation in the PhD program at the Medical University of Vienna
- Support in teaching and supervision of students
Your Profile
- Master’s degree in Computer Science, Biomedical Engineering, Data Science, or a related field
- Prior experience with deep learning, time series analysis, or interpretable AI is an asset
- Strong programming skills (e.g., Python, PyTorch/TensorFlow)
- Interest in translational biomedical research and interdisciplinary collaboration
We Offer
- Access to a rich clinical dataset and collaboration with experts in dentistry and AI
- A vibrant research environment in one of Europe’s leading medical universities
- Strong industry collaboration and exposure to real-world applications
- Job ticket as a contribution to climate protection
- Secure employer with a pleasant working atmosphere
- Company pension scheme for all employees
- Low cost parking and parking spaces for bicycles available
- Flexible working hours
- Good work-life balance
- Good transport links in a central location
- Canteen with discounted meals
- Numerous employee discounts and promotions
- Year-round childcare such as company nursery or holiday activities
- Comprehensive training and development program
- Counselling services as required
- Health measures for prevention and health promotion
- Employee events (events for networking and celebrating as well as specialist presentations)
- Accessibility and commitment to diversity and inclusion
The minimum monthly salary for this position (Uni-KV, VerwGr. B1) is currently Euro 2,786,-- gross (14x per year) on a part-time basis and may be increased by taking into account relevant previous experience and other salary components related to the specificities of the job.
The Medical University of Vienna is committed to increasing the proportion of women, particularly in leadership positions and among academic staff, and therefore strongly encourages qualified women to apply. Women with equivalent qualifications will be given preference.
We welcome and encourage applications from people with disabilities and/or chronic illnesses. If you have any questions, please contact the Disability Liaison Officer of MedUni Vienna. Information can be found at meduniwien.ac.at/behindertenvertrauenspersonen
Please see meduniwien.ac.at/datenschutz/bewerbungen_en for our data protection policy.
Please send us your complete application documents, consisting of a CV, cover letter and, if applicable, references and certificates in support of the required qualifications.
Please quote reference number 445/25 in the subject line and send your application by
13th August 2025 to: bewerbungen@meduniwien.ac.at
We look forward to receiving your application!