Vacancies
Vacancies
PhD Openings
Open fully-funded PhD position on Efficient LLM Algorithm, Hardware, and System Design
Project description
We are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy-efficient hardware-software co-design solutions that enable real-time computation on resource-constrained devices. Example applications include portable speech understanding and rehabilitation tools for speech disorders, robotics, and extended reality. The project combines innovative algorithm design, model compression, and custom hardware acceleration to advance the state of the art in edge LLM. This position offers a unique opportunity to be at the forefront of technological advancements that promise to reshape the future.
If you are interested, please submit your CV to my email.
July 17, 2025 - Oct 1, 2025
Open fully-funded PhD position on Real-time, Low Power, User-friendly Neuromorphic Perception for Robots
Project description
This PhD project aims to develop a real-time, low-power, user-friendly neuromorphic perception system for robotics. Conventional cameras and processors struggle with the high-speed, dynamic demands of robots operating near humans, introducing delays, high energy use, and privacy concerns. Neuromorphic vision sensors, inspired by the human retina, offer a solution by transmitting only changes in a scene, enabling fast, efficient, and sparse data processing. When combined with brain-inspired computing, such systems can deliver ultra-low-latency perception on-device. The project will focus on four key areas: (1) designing event-based vision algorithms; (2) developing adaptive, lightweight learning strategies for continuous model tuning in unpredictable environments; (3) building a specialized embedded neuromorphic processor optimized for sparse, real-time data; and (4) conducting user studies to define safety and trust constraints that guide system design. A key outcome will be a working demo on an embedded robotic platform, showcasing responsive and energy-efficient perception. This project will advance the autonomy and safety of intelligent robots in human environments, offering a compelling alternative to traditional vision-based systems.
Co-supervisor: Joost Broekens
If you are interested, please submit your CV to my email.
May 22, 2025 - Sep 1, 2025
Open fully-funded PhD position on Edge Neuromorphic AI System towards Bio-signal Processing for Healthcare
Project description
We are looking for a PhD student to work on edge neuromorphic AI system towards bio-signal processing for healthcare, including neuromorphic-hardware-aware bio-signal processing, e.g. EEG, EMG, audio signals, etc., and hardware architecture/processor design, including some emerging hardware technologies. This initiative is part of a broader effort to revolutionize healthcare treatment and rehabilitation, offering substantial benefits to patients and health-conscious individuals. Neuromorphic computing, inspired by the neural structure of the human brain, offers a promising avenue for the real-time and low-power processing of complex bio-signals. This approach is particularly advantageous in healthcare, where rapid and efficient processing of bio-signals is crucial for timely diagnosis and intervention.
If you are interested, please submit your CV to my email.
March 1, 2024, - due
Open fully-funded PhD position on Edge Neuromorphic AI System towards Bio-signal Processing for Healthcare
Project description
We are looking for a PhD student to work on edge neuromorphic AI system towards bio-signal processing for healthcare, including neuromorphic-hardware-aware bio-signal processing, e.g. EEG, EMG, audio signals, etc., and hardware architecture/processor design, including some emerging hardware technologies. This initiative is part of a broader effort to revolutionize healthcare treatment and rehabilitation, offering substantial benefits to patients and health-conscious individuals. Neuromorphic computing, inspired by the neural structure of the human brain, offers a promising avenue for the real-time and low-power processing of complex bio-signals. This approach is particularly advantageous in healthcare, where rapid and efficient processing of bio-signals is crucial for timely diagnosis and intervention.
If you are interested, please submit your CV to my email.
March 1, 2024, - due
MSc Projects
Valid always.
Feel free to contact us if you want to conduct interesting master/bachelor projects. Send me an email for more info.
Listed are some projects:
Lightweight Large Language Models inference algorithm/hardware design. Contact person: Jiawen Qi, j.qi@liacs.leidenuniv.nl
Interactive Multimodal Perception Using Large Language Models. Contact person: Jiawen Qi, j.qi@liacs.leidenuniv.nl
Event-based vision in AR/VR or robotics scenarios. Contact person: PhD student Guorui Lu, g.lu@liacs.leidenuniv.nl
Bio-signal processing. Contact person: PhD student Guorui Lu, g.lu@liacs.leidenuniv.nl
Visiting & Exchange
Interested scholars and students please contact me directly for more information.