PhD position in hardware-software co-design for bio-inspired ML models
KU Leuven is offering a PhD position in hardware-software co-design for bio-inspired machine learning models within the e-Media research lab, part of STADIUS and the Department of Electrical Engineering (ESAT). The project is supervised by Prof. Martin Lefebvre, with additional contact persons Prof. Bert Lagaisse and Prof. Bart Vanrumste. The research sits at the intersection of machine learning, embedded hardware, and efficient edge intelligence.
The project explores brain-inspired and bio-inspired ML approaches, with a particular focus on spiking neural networks, structural plasticity, delay plasticity, quantization, and hardware implementation. The goal is to develop models with very small compute and memory footprints while maintaining performance. Research will include training models with multiple plasticities at different timescales, comparing design trade-offs, and implementing the best-performing solutions in custom digital hardware such as FPGA and/or application-specific integrated circuits (ASICs).
Applications are especially relevant to temporal data and edge settings, including biomedical signals, brain-computer interfaces, keyword spotting, artificial cochleas, tactile sensing, predictive maintenance, and robot control. The broader aim is to enable on-device processing for resource-constrained environments and to better understand which bio-inspired mechanisms are most useful for efficient learning and inference.
Applicants should hold a Master’s degree in Engineering or a closely related area such as Electrical Engineering, Computer Science, or Artificial Intelligence. The ideal candidate is in the top 10% of their class at both MSc and BSc level, has strong ML and programming skills in Python and frameworks such as PyTorch and JAX, and has experience with embedded platforms like FPGAs or RISC-V microcontrollers. Experience with digital IC design and simulation tools is a plus. Strong English proficiency, independent research ability, critical thinking, research ethics, and teamwork skills are expected.
The position offers a PhD scholarship of up to four years, competitive salary and benefits, and full-time employment for four years with yearly evaluation. The successful candidate may earn a PhD in Engineering Technology. KU Leuven also highlights an international research environment, doctoral training at the Arenberg Doctoral School, conference opportunities, and a flexible working culture with up to 40% remote work.
Application deadline: 2026-08-31 23:59 (Europe/Brussels). Interested candidates should apply through the KU Leuven job portal and may contact the listed supervisors for additional information.
