The scholarships are intended for research that aims to develop knowledge about neuromorphic and event-driven sensor systems for advanced condition monitoring, e.g. investigating filterbanks, charge amplifier designs, event-based sampling, and machine learning based signal processing methods suitable for implementation with spiking neural networks and neuromorphic processors.

The project is a collaboration between EISLAB and the division of Machine Elements and is funded by The Kempe Foundations. By taking part in this collaboration you will work in an international, creative resourceful environment with an extensive international contact network.