Student project: Neuromorphic Compression IC Design in High-Bandwidth Brain–Computer Interfaces

*Important for non-EU students: You'll need to be registered at a Dutch university to meet immigration requirements.

Efficient Hardware Design for Neural Recording Data Compression

What you will do

• Conduct a systematic study of existing approaches for high-channel-count neural recording systems (>1,000 channels)
• Review literature on neural data compression and serialization techniques
• Develop system-level models based on proposed design concepts
• Implement the design through the tape-out flow
• Perform verification and validation of the proposed hardware design

What we do for you

You will join a multidisciplinary team working at the intersection of neural interfaces, data compression, and hardware design. The project addresses the challenge of handling large-scale neural recording data from high-channel-count systems, where efficient compression, serialization, and low-power hardware implementation are critical.

Who you are

• You are a motivated student with a background in electrical engineering, microelectronics, computer engineering, or a related field
• You have basic knowledge of digital hardware design and system architecture
• You are familiar with HDL languages such as Verilog, SystemVerilog, or VHDL
• You have an interest in neural interfaces, biomedical circuits, or signal processing
• Basic analog circuit knowledge is a plus, especially for understanding neural recording front-end systems
• You are comfortable with simulation, modelling, and debugging
• You are eager to learn about data compression, serialization, verification, and tape-out flow
• You can work independently while actively communicating within a multidisciplinary team

Interested

Does this position sound like an interesting next step in your career at imec? Don’t hesitate to submit your application by clicking on ‘APPLY’.
Should you have more questions about the job, you can contact jobs@imec.nl.