CMOS and beyond CMOS
Discover why imec is the premier nanoelectronics R&D center in the development of industry-relevant solutions for advanced logic & memory devices.
Connected health solutions
Explore the technologies that will power tomorrow’s wearable, implantable, ingestible and non-contact devices.
Life sciences
As a pioneer in nanoelectronics, imec brings the power of chip technology to the world of healthcare.
Sensor solutions for IoT
Imec develops innovative solutions for sensor networks, high speed networks and sensor technologies for the Internet of Things.
Artificial intelligence
Artificial intelligence is no longer the stuff of science fiction: its technologies are ready and its possibilities are real. It’s time to explore them, and imec is ready to help you.
More expertises
Discover all our expertises.
Research
Be the first to reap the benefits of imec’s research by joining one of our programs or starting an exclusive bilateral collaboration.
Development
Build on our expertise for the design, prototyping and low-volume manufacturing of your innovative nanotech components and products.
Solutions
Use one of imec’s mature technologies for groundbreaking applications across a multitude of industries such as healthcare, agriculture and Industry 4.0.
Venturing and startups
Kick-start your business.Launch or expand your tech company by drawing on the funds and knowhow of imec’s ecosystem of tailored venturing support.
/Job opportunities/Student project: Neuromorphic compressed sensing and event-based transmission

Student project: Neuromorphic compressed sensing and event-based transmission

Research & development - Eindhoven | More than two weeks ago

In this project, the student internship will explore a new neuromorphic concept, i.e., compressed sensing, into low-power wireless communication.

Student project: Neuromorphic compressed sensing and event-based transmission

What you will do

A neuromorphic event-based camera inspired by how the retina processes light was introduced in 2008 [1]. Unlike a conventional frame-based camera, each pixel in event-based cameras reports changes in brightness only as they occur, using events, and stays silent otherwise. A similar concept has also been adopted in physiological signals with high sparsity, e.g., membrane potential [2]. The event encoding can be implemented with an event-based ADC, e.g., a level-crossing ADC which produces a positive event when crossing one contrast step with rising slope, and a negative event with falling slope. This event-based approach can achieve >1000× higher compression ratio than the existing approach while preserving same waveform features. When this event-based system adopts an “event-driven” transmission, e.g., asynchronous impulse-radio UWB, the transmission energy can be significantly reduced [3].

In this project, the intern will work on:

  • Literature study.
  • Collect sensor dataset for further signal processing.
  • Based on imec’s existing CAD environment to develop event-based simulation platform.
  • Understand the technology developing in imec, including event-based ADC, neuromorphic processing
  • Develop new methodology for event-based signal processing and transmission.
  • Implement and validate the concept.

[1] P. Lichtsteiner, et al., “A 128 dB 15 ms Latency Asynchronous Temporal Contrast Vision Sensor,” IEEE Journal of Solid-State Circuits, Feb. 2008.
[2] F. Corradi, et al., “A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces,” IEEE Transaction biomedical circuits and systems (TBioCAS), Oct. 2016.
[3] X. Zhang, et al., “A 2.89mW dry-electrode enabled clockless wireless ECG SoC for wearable applications,” IEEE Journal of Solid-State Circuits (JSSC), Oct. 2016.

What we do for you

As the world-best research institute, we are the center of the excellence in nano-electronics design for Internet of Things and healthcare solutions. In this internship project, you will be working on the cutting-edge research project, under the supervision of the world-renown researchers from diverse background.  

Who you are

  • You are an MSc student.
  • You are available for a period of 12 months.
  • Good analytical skills (e. g. Mathematical skills).
  • Good CAD skills for event-based signal processing (e. g. Python/MATLAB/Verilog).
  • Knowledges of neuromorphic computing.
  • Knowledges of wireless communication.
  • Motivated student eager to work independently and expand knowledge in the field.
  • Good written and verbal English skills.
For internship opportunities at imec in Holst Centre, please visit the holst centre website: https://www.holstcentre.com/careers/thesis-opportunities/

Interested

Click on ‘apply’ to submit your application. You will then be redirected to e-recruiting.

Please be advised that non-EU/EEA country students that are studying outside of the Netherlands, need to have a work-permit to be able to do an internship in the Netherlands.