Master Thesis / Student Assistant - FPGA Event-Based Vision System Integration (m/f/x)
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Intro
The Master Thesis / Student Assistant position at the Peter Grünberg Institute (PGI-15) involves integrating an event-based neuromorphic accelerator into a computer system with a RISC-V processor, running an operating system, and integrating various interfaces. The role requires knowledge of RISC-V core generators, Xilinx interface controller IPs, OS image production, bootloader writing, and system boot-up. Candidates should have a background in computer science, electrical/electronic engineering, or related fields, with experience in embedded software or computer engineering. Proficiency in C/Scala/HDL programming and familiarity with neuromorphic systems/spike neural networks is advantageous. The position offers the opportunity to work on cutting-edge research in a collaborative and interdisciplinary environment at RWTH Aachen, with flexible working hours and competitive remuneration.
Tasks
- Integrating event-based neuromorphic accelerator in a computer system
- Learning to use RISC-V core generator and generate an OS capable processor
- Integrating Xilinx interface controller IPs into the system
- Producing OS image and writing a bootloader
- Booting up the system
- Connecting event camera to the board
Requirements
- Current master studies in computer science, electrical/electronic engineering, or related field
- Interest in working with computer systems
- Background in embedded software or computer engineering
- Experience with C/Scala/HDL programming
- Hands-on experience with RISC-V systems (bonus)
- Knowledge of neuromorphic systems/spike neural networks (bonus)
Benefits
- Opportunity to work on cutting-edge technologies
- Access to state-of-the-art experimental equipment
- Collaborative research environment
- Flexible working hours
- Reasonable remuneration
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