Embedded Signal Processing &
Machine Learning Lab
The focus is on neuromorphic compute algorithms and architectures for embedded systems as well as advanced signal processing for intelligent sensor data processing and fusion and embedded AI for decision-making, automation and control. The collaborative approach provides the lab with world-wide leading edge equipment laying foundations for scientific excellence on international level.
The embedded signal processing & machine learning lab is looking for research enthusiasts in the areas of
- Neuromorphic architectures and neural networks HW/SW systems engineering
- Advanced signal processing, Machine Learning and Deep Learning
- Sensor data processing, sensor fusion and perceptive computing
- Analog, mixed-signal and digital integrated circuit design
- Embedded SW architecture, and GPU, FGPA and micro-controller programming
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The top research center for electronic based systems (EBS).
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