- Edmonton, Alberta, Canada
- Contract · Associate
Amii is seeking a Research Associate to contribute to SPAARC (Space-ready Principled Adaptive-AI via Renormalization-based Compression), a research project in collaboration with the European Space Agency (ESA), focusing on physics-inspired approaches to neural network compression.
Responsibilities
- Contribute to developing the theoretical foundations for applying renormalization-group (RG) concepts to knowledge distillation and neural network compression.
- Develop and evaluate machine learning models and algorithms for neural network compression and knowledge distillation.
- Design and conduct numerical experiments to investigate model scaling, architectural transformations, and compression limits.
- Develop research software and experimental pipelines using modern machine learning frameworks.
- Analyze experimental results, including statistical uncertainty, robustness, and sensitivity to architectural changes.
Requirements
- PhD in Physics or Mathematics
- Master’s with demonstrated expertise
- Nice to have: Renormalization-group theory
- Nice to have: Knowledge distillation
- Nice to have: Information theory