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 Department of Medicine II is looking for a part-time (30 hours per week) PhD-Position: Machine Learning / Medical Imaging (m/f/x) (with immediate effect). This position is offered for a duration of 3 years.
Join the AICARD Research Project “Transforming Cardiac Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts at the Computational Imaging Research Lab (CIR) and the Department of Cardiology at the Medical University of Vienna and the Visualization and Data Analysis Research Group (VDA) at the University of Vienna.
Your Tasks
Your mission is to develop multi-modal AI methods to integrate MRI, echocardiography, ECG, longitudinal EHRs, and other clinical modalities. By disentangling technical noise, physiological variability, and disease-specific patterns, your models will empower cardiologists to track disease progression, identify patient phenotypes, and predict clinical outcomes. The resulting insights will be made accessible through an interactive visual analytics platform, developed in close collaboration with our visualization experts, enabling personalized cardiac care.
Your Profile
- Education: You hold (or will soon complete) an M.Sc. (or equivalent) in Computer Science or a related discipline
- ML expertise: You have strong programming and deep learning experience (e.g., PyTorch, TensorFlow), backed by a substantial project (thesis, paper, etc.)
- Analytical mindset: You have a passion for solving complex problems and a solid foundation in math/stats/ML theory
- Teamwork and Communication: You enjoy interdisciplinary collaboration and are enthusiastic about mentoring and sharing knowledge with peers and students. You communicate clearly in spoken and written English. German is not required but is considered a bonus
We Offer
- Real-World Impact: Advance cardiology research with cutting-edge AI methods
- Top-Tier Mentorship: Collaborate with leading experts in AI, visualization, and medicine
- Compute Power: Access state-of-the-art GPU clusters and high-performance computing facilities to accelerate your research.
- Good transport links in a central location with a free job ticket as a contribution to climate protection
- Low-cost parking and parking spaces for bicycles available
- Company pension scheme for all employees
- Flexible working hours
- Good work-life balance
- 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 https://br-ap.meduniwien.ac.at/en/ueber-uns/behindertenvertrauenspersonen/.
Please see www.meduniwien.ac.at/datenschutz/bewerbungen_en for our data protection policy.
Please send us your complete application documents, consisting of a CV including contact details of two references, cover letter (max. one page) indicating your interests, why your expertise is relevant and why you are applying) and, if applicable, references and certificates in support of the required qualifications. For regulated professions, please also enclose proof of professional authorisation.
Please quote reference number: 621/25 in the subject line and send your application by 15.10.2025 to: bewerbungen@meduniwien.ac.at.
We look forward to receiving your application!
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