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Research Associate, 12 Month Term
Alberta Machine Intelligence Institute (Amii). Contribute to developing theoretical foundations for applying renormalization-group concepts to knowledge distillation and neural network compression .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning model development, particularly in neural network compression and knowledge distillation, with strong proficiency in Python and modern frameworks like PyTorch. Capable of conducting independent research and rigorous quantitative analysis while effectively collaborating in interdisciplinary environments.
Highest-signal resume keywords
PhD In Physics Or MathematicsMachine Learning Model DevelopmentPython ProgrammingProficiency In PyTorchStatistical Analysis
ATS Keywords
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Hard Skills
Neural Network CompressionKnowledge DistillationStatistical PhysicsRenormalization Group TheoryModel ScalingArchitectural TransformationsExperimental DesignQuantitative AnalysisGPU ComputingReproducible Computational Experiments
Soft Skills
Scientific CommunicationCritical ThinkingProblem-SolvingIntellectual CuriosityInterdisciplinary Collaboration
Tools & Technologies
PyTorchLinuxGitMachine Learning FrameworksEdge Computing
Industry Keywords
Computer VisionSpace-Based Earth ObservationResource-Constrained AIDeep Neural NetworksImage ClassificationObject DetectionSegmentationUncertainty QuantificationNeural Architecture SearchEfficient Inference
Tech Stack
Tools & technologiesLinuxPythonPyTorch
About the role
Key responsibilities & impact- Contribute to developing theoretical foundations for applying renormalization-group concepts to knowledge distillation and neural network compression
- Formulate mathematical frameworks and testable hypotheses
- Develop and evaluate machine learning models and algorithms for neural network compression and knowledge distillation
- Design and conduct numerical experiments on 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
- Collaborate with Amii researchers and ESA scientists
- Contribute to scientific publications, technical reports, and open-source research tools
- Support research with potential applications in computer vision, space-based Earth observation, and resource-constrained spacecraft AI
Requirements
What you’ll need- PhD in Physics or Mathematics, with a strong foundation in statistical physics and renormalization group theory
- Exceptional candidates with different backgrounds (e.g., a Master’s) with demonstrated expertise in model compression or knowledge distillation will also be considered
- Extensive experience in machine learning, including designing, training, and evaluating deep neural networks
- Strong Python programming skills
- Proficiency with modern machine learning frameworks, particularly PyTorch
- Familiarity with computer vision concepts and techniques, including image classification, object detection, and segmentation
- Experience with statistical analysis, uncertainty quantification, and reproducible computational experiments
- Familiarity with GPU computing, Linux, and Git
- Demonstrated ability to conduct independent research, develop computational methods, and perform rigorous quantitative analysis
- Strong scientific communication skills and ability to work effectively in an interdisciplinary research environment
- Must be legally eligible to work in Canada
- Working knowledge of renormalization-group theory, knowledge distillation, information theory, and compression
- Familiarity with neural network compression methods, model scaling, and neural architecture search
- Knowledge of edge computing, resource-constrained machine learning, and efficient inference on embedded hardware
- A record of scientific publications in physics, machine learning, or related disciplines
- Ability to work independently and take ownership of research problems
- Strong critical thinking and problem-solving skills
- Interest in interdisciplinary research spanning physics and machine learning
- Intellectual curiosity and willingness to explore new research directions
Benefits
Comp & perks- Professional development opportunities
- Access to Amii's research community
- Access to scientific events
- Contributions to scientific publications and open-source research tools
- Equal opportunity employer
- Disability-related accommodations throughout the recruitment and selection process