University assistant predoctoral -Visual Data Analysis
The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an
University assistant predoctoral -Visual Data Analysis
39 Faculty of Computer Science
Job vacancy starting: 06/01/2025 (MM-DD-YYYY) | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until: 05/31/2028
Job ID: 3851
The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.
Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team!
Your personal sphere of influence:
Join the AICARD Research Project ‘Transforming Cardiac Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data’ as Ph.D. Visual Data Analysis. Work alongside leading experts at the Computational Imaging Research Lab (CIR) and the Department of Cardiology at the Medical University of Vienna and Visualization and Data Analysis Research Group (VDA) at University of Vienna. AICARD aims to transform cardiac research by exploring routine clinical data through advanced machine learning and visualization techniques. As part of our vibrant and interdisciplinary team, together with the also newly created positions of Ph.D. Machine Learning and Data Manager you will develop methods/tools to enable more effective research, e.g., enabling medical professionals to explore and discover patterns in disease progression and to assess treatment response.
Your future tasks:
As Ph.D. Visual Data Analysis you will develop an interactive visualization tool for advanced visual exploration of multi-modal patient data and its predictive value. As well as participation in research, teaching and administration:
- Participation in reseach projects / research studies
- Participation in publications / academic articles / presentations
- We expect the successful candidate to sign a doctoral thesis agreement within 12 months.
- Participation in teaching and independent teaching of courses as defined by the collective agreement
- Supervision of students
- Involvement in the organisation of meetings, conferences, symposiums
- Involvment in the department administration as well as in teaching and research administration
This is part of your personality:
-
M.Sc. degree or an equivalent four-year degree (or soon to be completed) in a relevant discipline: computer science, data science, human-computer-interaction, data visualization or a related field.
-
Excellent programming skills and experience in machine and deep learning (PyTorch, TensorFlow, …)
-
Good analytical, interpersonal, as well as written and oral communication skills in English
-
Experiance with user studies, prototyping and German language skulls are a plus.
Why join us?
-
Real-World Impact - Advance AI-driven cardiology research with cutting-edge methods.
-
Top-Tier Mentorship - Collaborate with leading experts in AI, visualization, and medicine.
-
Great work environment - Friendly, international team in one of the world’s most livable cities, with health programs, an on-site cafeteria and excellent public transport.
-
Career growth – Access to conferences, training, and networking opportunities.
What we offer:
Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.
Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.
Good public transport connections: Your workplace is easily accessible by public transport.
Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.
Fair salary: The basic salary of EUR 3,714,80 (on a full-time basis) increases if we can credit professional experience.
Contract duration: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.
Equal opportunities for all: We welcome every additional/new personality to the team!
It is that easy to apply:
- With your scientific curriculum vitae / letter of intent
- With your summary of research interests / ideas for a prospective doctoral project proposal
- Master Degree / Diploma
- Via our job portal / Apply now - button
If you have any questions, please contact:
Charlotte Zott
charlotte.zott@univie.ac.at
We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.
University of Vienna. Space for personalities. Since 1365.
Data protection
Application deadline: 04/20/2025 (MM-DD-YYYY)