Open Positions

The research group of Ozan Özdenizci is offering a doctoral researcher position focused on reliable and resource-efficient deep learning techniques, with an emphasis on spike-based neural computation mechanisms in modern learning systems. The PhD research will address both fundamental and applied algorithmic questions on learning methods and neural architectures.

Duration of employment: 3 years
Working hours: 40 hours/week
Starting date: April 2026

Requirements:
* Master’s degree in computer science, artificial intelligence, electrical engineering, or a related field
* Strong technical background in machine learning with deep neural networks
* Good programming skills (e.g., PyTorch or JAX)
* Excellent academic record and strong motivation for research

Application:
Please submit a motivation letter, CV, academic transcripts, and contact information for two references via email to: oezdenizcinoSpam@tugraz.at

Group leader: Robert Legenstein
Duration of employment: 3 years
Working hours: 40 hours per week
Possible start date: June 1, 2026

The group of Robert Legenstein at the Institute of Machine Learning and Neural Computation (IML) at Graz University of Technology (Austria) is seeking a candidate for a PhD position to research advanced training strategies for neuromorphic neural networks.

The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one research center and two companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. 

Details for the position can be found in this job posting.

Now open: Please apply via the Graz University of Technology job portal.