PhD Position on Neuromorphic Processing Systems for Dynamic Vision Sensors

hace 6 días


Gasteiz Vitoria, Álava, España EHU A tiempo completo
Research Opportunity

The University of the Basque Country (EHU) is pleased to offer a PhD position in the field of Neuromorphic Processing Systems for Dynamic Vision Sensors. This research opportunity is part of the SoC4sensing University-Business Chair, a collaborative framework that brings together researchers and industry partners to develop innovative solutions in microelectronics design.

Research Topic

The PhD candidate will focus on adapting an existing DVS-based processing pipeline prototype in FPGA for its implementation in silicon. The proposed pipeline includes DVS interface with foveation control, event-driven filter, event-to-frame conversion, and frame delivery via AXI Stream interfaces and memory-mapped registers for access from a main CPU via AXI.

Key Areas of Investigation
  • Power consumption optimization, including advanced circuit design techniques for low power.
  • Performance enhancement, focusing on improving the speed and efficiency of event processing in DVS, studying new architectures and parallelization methods to increase processing capabilities, leveraging the asynchronous nature of events generated by the sensors.
  • Comparative studies on the efficiency of DVS processing algorithms implemented in silicon compared to their FPGA counterparts, evaluating performance in terms of latency, accuracy, and power consumption.
Required Expertise

The ideal candidate will have a Master's degree in Electronic Engineering, Electrical Engineering, Computer Science, or equivalent, with a background in design of digital circuits using HDL. Strong analytical, interpersonal, communication, and English language skills are essential. Relevant skills include background in signal processing, computer vision, machine/deep learning, and associated frameworks, as well as prior knowledge of neuromorphic architectures and dynamic vision sensing.

Collaboration and Training

The PhD candidate will work in collaboration with IKERLAN Research Center and other SoC4Sensing PhD candidates in the integration of the DVS pipeline with RISC-V-based SoC designs, and potentially, neural networks accelerators or co-processors to demonstrate joint functioning. The SoC4sensing Chair offers expert training on SoC VLSI design and funding for the tape-out of developed designs.

What We Offer
  • A unique collaborative framework to conduct a PhD that includes fully funded enrollment in a leading university and close collaboration with a key high-tech research center.
  • Expert training on SoC VLSI design and funding for the tape-out of developed designs.
  • A flexible work model and a range of various training opportunities for personal growth.


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