Student project: Low-loss event-based data compression for neural implants

What you will do

You will be exploring the advanced neural network algorithm and hardware architecture for low-loss data compression in brain computer interfaces. Below are main tasks in this research:

• Literature study of state of the art and understand existing IP and algorithm.
• Large neural data analysis from public available neural recording data set.
• Develop inference and training algorithm for the new neural network architecture.
• Study the hardware requirement and optimize for power and chip-area efficiency.
• Thesis and publication writing.

What we do for you

We will provide

• Close guidance and supervision on technical skills and research.
• GPU and CAD tool required for neural network algorithm development.
• High channel count neural recording dataset for algorithm development.
• CADs or FPGA required for hardware evaluation.

Who you are

• Computer science or electrical Engineering background with good analytical skills.
• Knowledge of machine learning and neural network is preferred (experience with PyTorch or similar).
• Strong interest in biomedical applications, especially in neural interfacing.
• Basic understand in digital VLSIs.
• Good written and verbal English skills.

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