PhD Position - Neuromorphic Computing in Gravitational Wave Detec...
Hybrid
Core
Develop a neuromorphic computing framework and real-time FPGA-based processing architecture to mitigate Newtonian noise and improve sensitivity in gravitational wave detection for the Einstein Telescope.
Role type
Doctoral Researcher (Neuromorphic Computing & FPGA)
Builds
Real-time sensor-to-processing hardware interface for seismic sensor arrays
Domain
Gravitational wave astronomy, Neuromorphic computing, FPGA-based signal processing
Deliverable
production ML models
Required skills
Neural network design and training, FPGA development (HDL/HLS), Embedded AI, Real-time signal processing, Python, C++, Experimental physics background
Preferred skills
Device-aware training, Low-latency system design, International collaboration
Technologies
FPGA, VHDL, Verilog, High-level synthesis (HLS), Python, C++
