dataTUdiscovery AI/ML service center
Bring Your Idea. We Build the AI
Unlock the potential of your data, experiments, or models with tailored AI support, expert guidance, and reusable workflows delivered to you by the dataTUdiscovery team. The service center offers consulting, co-supervision, prototyping, and workflow development in the areas of artificial intelligence (AI) and machine learning (ML). The service is available for existing research projects or upcoming grant proposals for TU Wien researchers.
Your Entry Point to Research+AI at TU Wien
dataTUdiscovery is TU Wien’s cross-faculty service center for accelerating scientific work with modern AI and ML, funded through the rectorate’s fuTUrefit projects. The center supports research groups from an initial idea to a full prototype through consulting, tailored models, and reusable workflows. Our experts collaborate with you to turn data, simulations, and experiments into high-impact Research+AI results.
For researchers
Do you want to implement an AI/ML workflow from literature in your projects? Would you like to schedule or prioritize experiments in a computer-aided, automated fashion? Do you plan to add an AI/ML workpackage to a grant proposal and are looking for consulting or co-supervision? Do you want to discuss an idea, or the potential of your existing data to model relationships? Contact the dataTUdiscovery service center for an initial assessment and further steps. The services of dataTUdiscovery are free of charge (within TU Wien).
To submit an idea or project proposal, email datatudiscovery@list.tuwien.ac.at. A template is available here as a Word, opens an external URL in a new window or Markdown, opens an external URL in a new window file. Specify relevant details including a description of the available data, preliminary work, and references to literature (regarding your own research or your idea).
For students
Would you like to join applied Research+AI projects as part of theses, internships, or interdisciplinary coursework? Contact the dataTUdiscovery service center for current projects. The following courses can currently interface with dataTUdiscovery (check back for frequent updates):
- 165.164 PR Selected Topics in Theoretical Chemistry (via Ass.Prof. Esther Heid)
- 194.147 PR Interdisciplinary Projekt in Data Science (via Ass.Prof. Esther Heid)
- 194.145 PR Project in Computer Science 1/2 (via Prof. Jürgen Cito and Prof. Stefan Biffl)
- 330.282 UE Industrial Data Science (via Univ.Prof. Fazel Ansari)
- 138.128 VU Machine Learning in Physics (via Sabine Andergassen)
- 360.206 PR Programming (via Lado Filipovic)
- 360.245 PR Selected Topics - Computational Electronics (via Lado Filipovic)

