Thesis supervisor: György Csaba
co-supervisor: Ádám Papp
Location of studies (in Hungarian): PPKE Abbreviation of location of studies: PPKE
Description of the research topic:
Magnonic computing devices and microwave signal processing structures represent a promising group of 'beyond' Moore devices. Recently discovered machine learning methods have made it possible to program these devices for more complex tasks than before. The central task of the PhD work will be the design of complex spin-wave based devices, the development of new design methodologies and the realization of the devices - the latter in close collaboration with the magnetic research group at TU München. The most exploratory part of the work will be the development of novel learning and design methods that go beyond the currently used backpropagation-based techniques. We aim to create reconfigurable, programmable magnetonic structures. The work will consist of approximately 70% theoretical (simulation) and 30% experimental components.
Required language skills: English Recommended language skills (in Hungarian): English Number of students who can be accepted: 1
Deadline for application: 2024-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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