Student Projects
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General Information
If you are studying at Radboud University and would like to do your Bachelor's or Master's thesis in Machine Learning / Data Science, or perhaps an internship, do let us know! Here are some of our available student projects, but we are happy to consider other options as well. To apply for a student project contact the professor responsible for the project:
- Gabriel Bucur - health data science, causal inference
- Tom Claassen - machine learning, causal inference
- Perry Groot - Gaussian processes, Bayesian inference
- Faegheh Hasibi - information retrieval, semantic search
- Tom Heskes - machine learning, causal inference
- Djoerd Hiemstra - information retrieval, federated search
- Twan van Laarhoven - machine learning, deep learning
- Martha Larson - information retrieval, text and multimedia mining
- David van Leeuwen - automatic speech, speaker and language recognition
- Marco Loog - supervised learning, learning curves
- Harrie Oosterhuis - machine learning, information retrieval
- Yuliya Shapovalova - Gaussian processes, time series models
- Johannes Textor - computational immunology, causal inference
- Arjen de Vries - information retrieval, large scale data engineering
- Marieke de Vries - health innovation, decision making
- Inge Wortel - computational immunology, modeling and simulation
Other pages where student projects are regularly posted:
- AI for Health (ICAI lab)
- Center for Language and Speech Technology
- Diagnostic Analysis Image Group
- Donders Center for Neuroscience
- ELLIS Excellence Fellowship for Radboud Master's Students (pdf, 749 kB)
Projects older than six months are likely not available any more, but if you are really interested in a particular topic, contact the professor responsible to see if perhaps the project can be refreshed. Projects appropriate only for a Bachelor's thesis / Master's thesis / internship or any combination of the above, will be marked as such.