TU-ID: 307 | 2026 | 16 | 266441
University Assistant Prae-Doc (all genders)
30 hours/week | limited to 4 years
TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.
At the Institute of Engineering Design and Product Development, in the Research Group of Digital Engineering TU Wien is offering a position as university assistant prae-doc (all genders) limited to expected 4 years for 30 hours/week. Expected start: May 2026.
Tasks:
- Conducting research on stochastic design optimization of soft robotic structures, with emphasis on physics-informed machine learning models and strategies to enhance model stability against adversarial perturbations
- Participating in scientific conferences, workshops, and events to present research findings and engage with the academic community
- Writing and publishing scientific papers and completing a PhD dissertation
- Contributing to teaching activities, including conducting examinations and mentoring junior students
- Supervising and collaborating with students in research projects and international collaborations
- Assistance in organizational and administrative tasks
Your profile:
- Interdisciplinary master or diploma degree bridging mechanical engineering and computer science, or a closely related degree
- Ability to conduct independent and methodological research
- Experience in building and optimizing Ansys (or Abaqus) and data-driven models for physics-informed machine learning and inverse problems, with additional knowledge in reinforcement learning
- Skilled in Python (PyTorch), C/C++, and large-scale data processing (>100 GB), including dataset structuring, distributed computing with Apache Spark/Hadoop, and high-performance multithreaded experiments on HPC clusters
- Proficient in image processing and computer vision, including feature extraction and learning-based visual models.
- Excellent oral and written English skills, reading and basic conversation in German language
- Enthusiasm for research and interest in scientific discovery
- An open communication style and the ability to work collaboratively both with student and international research collaborators
We offer:
- A wide variety and exciting range of tasks in a collegial team
- Hybrid working style
- A range of attractive social benefits (see Benefits)
- Wide range of internal and external training opportunities, various career options
- Central location of workplace as well as good accessibility (U1/U2/U4 Karlsplatz)
TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.
People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.
People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.
Entry level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 2,832.10/month gross, 14 times/year for 30 hours/week. Relevant working experiences may increase the monthly income.
We look forward to receiving your application until May 14th, 2026.
