We are looking for highly motivated students who want to participate, during their Bachelor/Master Project and/or Thesis, in research on areas of machine learning, deep learning, and brain-inspired paradigms for computing and learning. Concete topics for Bachelor theses (B), seminar projects (P), Master theses (M) are listed below. Topics can be specialized further in discussion with the student, in order to accomodate prior knowledge and interests.
| Project Topic | Type | Contact |
| Understanding direction selectivity of dendrites in pyramidal cells | B/P | Robert Legenstein |
| Learning of delays in spiking neural networks | B/P/M | Robert Legenstein |
| Predictive learning with SNNs | B/P/M | Robert Legenstein |
| Unsupervised sequence learning in SNNs | B/P/M | Robert Legenstein |
| Security of SNNs against adversarial bit-flip attacks | B/P | Ozan Özdenizci |
| Privacy in deep learning: Deleting training data from neural networks on demand | P/M | Ozan Özdenizci |
| Artificial architectural intelligence: Generating 3D geometries with diffusion models | B/P/M | Ozan Özdenizci |
Institute of Theoretical Computer Science
Inffeldgasse 16b/I
8010 Graz
Phone: +43 (0) 316 / 873 - 5811
Fax: +43 (0) 316 / 873 - 5805
marion.rabitsch@tugraz.at