PhD in Edge ML & Bio-Inspired Hardware-Software Co-Design

KU Leuven; Vlaams-Brabant; Hybride; EUR 26 000 - 36 000; Plein temps

Avantages offerts par ce poste

PhD scholarship 4 years

Competitive salary

Health insurance

International research environment

Up to 40% remote work

Résumé du poste

KU Leuven's e-Media research lab invites applications for a PhD position in hardware-software co-design for bio-inspired ML models. You will join Prof.

Martin Lefebvre's team within STADIUS/ESAT to develop energy-efficient edge ML on FPGA/ASIC, combining training of spiking neural networks with novel plasticities. The role requires a MSc in engineering with top grades, strong ML and Python skills, and experience with FPGA/RISC-V and EDA tools.

Qualifications

• Master's degree in Engineering with top performance.
• Top 10% MSc and BSc with outstanding results.
• Strong background in ML algorithms and Python.
• Experience with embedded platforms (FPGA/RISC‑V) and EDA tools such as Cadence XCelium, Genus, Innovus.

Responsabilités

• Develop hardware-software co-design for bio-inspired ML models.
• Explore training spiking neural networks with multiple plasticities.
• Quantize models and implement on FPGA/ASIC hardware.
• Collaborate in an international team and disseminate results.

Connaissances

Python

PyTorch

JAX

ML algorithms

English proficiency

Research collaboration

Team communication

Formation

Master's degree in Engineering

Top 10% MSc & BSc

Outils

Cadence XCelium

Genus

Innovus

Description du poste

KU Leuven's e-Media research lab invites applications for a PhD position in hardware-software co-design for bio-inspired ML models. You will join Prof.

Martin Lefebvre's team within STADIUS/ESAT to develop energy-efficient edge ML on FPGA/ASIC, combining training of spiking neural networks with novel plasticities. The role requires a MSc in engineering with top grades, strong ML and Python skills, and experience with FPGA/RISC-V and EDA tools.