Doctoral Thesis Topics
The first step towards your doctoral degree is to find the topic of your thesis. Have a look at our open topics, and browse recently completed theses.
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Open Topics
Finding an exciting thesis topic is crucial — after all, you will spend years of your life researching it. Typically a supervisor offers topics that fit into a larger research context within their group, like long-term vision, projects, or Doctoral Colleges. Your benefit in choosing one of these topics is that some may come with funding, and you can build on existing experience and infrastructure within an established research group.
Topics in TISS
Open topics are usually announced via TISS. To see all available doctoral thesis topics, please configure the TISS search form as follows (we unfortunately can’t provide a direct link):
- Visit tiss.tuwien.ac.at/thesis/theses.xhtml.
- Click the “Extended Search” button
- Set thesis type to “Dissertation”
- Set faculty to “Faculty of Informatics”
Additional Topics
Individual
- Low Latency Machine Learning including 5G and Edge / Supervisor: Ivona Brandic
Collections
- ProbInG Project + DC SecInt / Supervisor: Ezio Bartocci
- Information Visualization and Visual Analytics / Supervisor: Silvia Miksch
You are a member of TU Wien Informatics, but prefer to not announce your topics in TISS? Simply send us an email with title, expiration date, supervisor name, and URL of additional information and we’ll add them here.
Completed Topics
Recently Completed
We are proud of every single candidate who graduates with us!
Here is a list of some of our most recent doctoral theses:
- Streaming and Quantitative Extensions of Answer Set Programming / Kiesel, R. P. D. (2024). Streaming and Quantitative Extensions of Answer Set Programming [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.119341
- Visualization Onboarding. Supporting Users in Understanding Unfamiliar Visual Representations / Stoiber, C. (2024). Visualization Onboarding. Supporting Users in Understanding Unfamiliar Visual Representations [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.119342
- Data Driven Detection of Misconfigurations in Power Distribution Systems / Fellner, D. (2024). Data Driven Detection of Misconfigurations in Power Distribution Systems [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.120150
- Symbolic Verification of TLA+ Specifications with Applications to Distributed Algorithms / Tran, T. H. (2024). Symbolic Verification of TLA+ Specifications with Applications to Distributed Algorithms [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.117518
- Advancing state space search for static and dynamic Optimization by parallelization and learning / Frohner, N. (2023). Advancing state space search for static and dynamic Optimization by parallelization and learning [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113960
- Moment-based loop analysis / Stankovic, M. (2023). Moment-based loop analysis [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113863
- Single Image Depth Prediction on one perspective cultural heritage artefact / Frisky, A. Z. K. (2023). Single Image Depth Prediction on one perspective cultural heritage artefact [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113862
- Auditory sensory substitution in virtual reality : for people with hearing impairments / Mirzaei, M. (2023). Auditory sensory substitution in virtual reality : for people with hearing impairments [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113962
- Ergonomics-driven computational design of furniture and indoor layouts / Leimer, K. (2023). Ergonomics-driven computational design of furniture and indoor layouts [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113961
- Temporal reasoning in knowledge graphs : Artificial intelligence systems for reasoning with time in Vadalog / Nissl, M. (2023). Temporal reasoning in knowledge graphs : Artificial intelligence systems for reasoning with time in Vadalog [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.116143
The TU Wien Publication Database has the full list of all our completed theses.