PhD: Bio-Inspired ML & Edge Hardware Co-Design

Karlstad University

Leuven

Hybride

EUR 24 000 - 32 000

Plein temps

14 jours+

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Avantages offerts par ce poste

PhD scholarship
Salary & benefits
International environment
Remote work up to 40%
Doctoral training

Résumé du poste

KU Leuven invites applications for a PhD position focused on hardware-software co-design for bio-inspired ML models. The candidate will join the e-Media research lab under Prof. Martin Lefebvre, exploring efficient edge processing and on-device intelligence.

The project covers ML model training, hardware implementation on FPGA/ASIC, and cross-disciplinary collaboration within STADIUS and ESAT. Strong English and teamwork are essential.

Qualifications

  • Master’s degree in Engineering with a background in Electrical Engineering, Computer Science, Artificial Intelligence, or a related field.
  • Strong ML background with Python and DL frameworks (PyTorch, Jax).
  • Experience with embedded platforms and IC design tools is a plus.

Responsabilités

  • Investigate hardware-software co-design for bio-inspired ML models with constrained compute and memory.
  • Train and evaluate spiking neural networks with multiple plasticities.
  • Implement top-performing models in FPGA or ASIC hardware and explore edge deployment.

Connaissances

ML algorithms
Python programming
PyTorch
jax
English language
interpersonal skills
independent research
team collaboration

Formation

Master’s degree in Engineering with a background in Electrical Engineering, Computer Science, Artificial Intelligence, or a related field

Outils

Cadence XCelium
Genus
Innovus
FPGAs
RISC-V

Description du poste

KU Leuven invites applications for a PhD position focused on hardware-software co-design for bio-inspired ML models. The candidate will join the e-Media research lab under Prof. Martin Lefebvre, exploring efficient edge processing and on-device intelligence.

The project covers ML model training, hardware implementation on FPGA/ASIC, and cross-disciplinary collaboration within STADIUS and ESAT. Strong English and teamwork are essential.

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