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Added 1 day ago
IG
Senior UX Researcher
Insight Global
Toronto, ON
- $60 to $65 CAD / hour
- Contract
“Artificial intelligence tools are used to assist in screening and assessing applicants for this position."
Added 1 day ago
IG
User Experience Researcher
Insight Global
Toronto, ON
- $55 to $65 CAD / hour
- Contract
We use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
Added 1 day ago
Expression of interest : 2027 internships
LawZero
Montreal, QC
…methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montreal, LawZero’s research aims to build non-agentic AI that learns primarily to…
Added 2 days ago
AM
Research Associate (12 month term)
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
We are looking for a curious and motivated researcher with a strong foundation in physics and extensive hands-on experience in machine learning. The ideal candidate is excited about…
Added 3 days ago
R
Senior Broadcast Technologist (T & I) (On-site)
Radio-Canada
Toronto, ON
- Full-time
Added 3 days ago
IQ
Postdoctoral Researcher - Quantum Artificial Intelligence
Institut quantique - Université de Sherbrooke
Sherbrooke, QC
- Full-time
This research project aims to design, implement, and deploy quantum algorithms and quantum simulation protocols for artificial intelligence applications through a partnership between the…
Added 3 days ago
C
Senior Analyst, Strategic Intelligence, Global D&A
Chubb
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a highly skilled yet pragmatic researcher to join our team. This role serves as strategic intelligence leader for Chubb's Global Data & Analytics organization, driving our…
Added 3 days ago
P
Deep Learning Researcher
Picovoice
Vancouver, BC
- Full-time
Added 3 days ago
L
Machine Learning Infrastructure Researcher
Lightmatter
Toronto, ON
- Full-time
Lightmatter is seeking a Principal of Machine Learning Infrastructure Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using…
Added 3 days ago
Senior Counsel Corporate Affairs
LawZero
Montreal, QC
…methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montreal, LawZero’s research aims to build non-agentic AI that learns primarily to…
Added 4 days ago
UH
Postdoctoral Researcher
University Health Network
Toronto, ON
- Full-time
…RNA sequencing analysis and an interest in incorporating new artificial intelligence tools into the analysis pipeline. The anticipation is that this qualified person will be able to work…
Added 4 days ago
HT
Intern Researcher- Computer Vision
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
…academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim…
Added 5 days ago
TM
Machine learning modelling of anaerobic digestion - Postdoctoral Fellow
Toronto Metropolitan University
Toronto, ON
- Full-time
We are seeking a highly motivated Postdoctoral Researcher to join our research team at Toronto Metropolitan University (TMU), focusing on the integration of artificial intelligence and…
Added 5 days ago
A
Artificial Intelligence Researcher
Aloe
Vancouver, BC
- Full-time
We’re looking for a Senior AI Researcher to bridge frontier research with product innovation. You’ll focus on advancing breakthroughs in AI and machine reasoning and translating them into…
Added 7 days ago
UL
Postdoctoral Researcher
Université Laval
Quebec, QC
- Full-time
Candidates are invited to propose an original two-year research project in artificial intelligence for robotics, perception, SLAM, autonomous navigation, or robotic mobility, with…
Added 8 days ago
VI
Chief Information Officer
Vector Institute
Toronto, ON
- Full-time
Ensure the effective and efficient support of Vector’s researcher community across all computing needs, exceeding one thousand users across the country;
Added 8 days ago
AI & Digital Innovation Lead
MIC Medical Imaging
Edmonton, AB
Artificial intelligence is beginning to change how diagnostic imaging organizations operate, from clinical decision support and workflow optimization to automation, analytics and the…
Added 8 days ago
J
Manager of UX Research
Jobgether
Canada
- $112,000 to $160,000 CAD / year
- Full-time
Manage and mentor a UX researcher, supporting professional development, research quality, and effective collaboration.
Added 9 days ago
HT
Intern Researcher- AI Agents
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Added 9 days ago
UL
Canada Impact+ Emerging Leader Professor in Computational Design and Engineering of Proteins
Université Laval
Quebec, QC
- Full-time
…draw on computational approaches such as machine learning, artificial intelligence, molecular dynamics, evolutionary algorithms, molecular modeling, structural bioinformatics, and related…
Added 10 days ago
T
Machine Learning Researcher
TekPillar®
Canada
- Contract
Added 10 days ago
CN
Postdoctoral Researcher-- Foundations of a Resilient Microbiome (2 Positions)
California NanoSystems Institute (CNSI)
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
Position title: Postdoctoral Researcher-- Foundations of a Resilient Microbiome
Added 11 days ago
Accounting Technician
LawZero
Montreal, QC
A portion of your time will also be dedicated to supporting the accounting operations of Mila, the Quebec Artificial Intelligence Institute.
Added 11 days ago
L
Accounting Technician
LawZero
Montreal, QC
- Full-time
A portion of your time will also be dedicated to supporting the accounting operations of Mila, the Quebec Artificial Intelligence Institute.
Added 11 days ago
T
Machine Learning Researcher
TekPillar®
Canada
- Contract

Alberta Machine Intelligence Institute

Research Associate (12 month term)

Edmonton, AB, T5J 3B1, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Nov 5, 2026

Original job description

“If you are excited by the possibility that the next breakthrough in machine learning may come from outside machine learning itself, this is an opportunity to put that idea to the test. By bringing ideas from statistical physics to neural network compression, you'll explore whether we can move beyond trial and error toward discovering fundamental principles that govern how AI models scale. SPAARC offers you the chance to tackle ambitious scientific questions, challenge conventional thinking, and help lay the foundations for a new generation of efficient AI systems, with applications reaching all the way to space.”

David Staszak, Lead Machine Learning Scientist, Advanced Technology

About the Role

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).

The position focuses on developing physics-inspired approaches to neural network compression, with the goal of understanding how model architectures and performance evolve under increasingly constrained computational resources. The successful candidate will work closely with Amii research scientists as well as ESA scientists and take a leading role in the project's experimental research.

About the Project

SPAARC (Space-ready Principled Adaptive-AI via Renormalization-based Compression) investigates whether concepts from renormalization-group theory can provide a systematic and predictive framework for neural network compression. The project combines knowledge distillation, architectural optimization, and statistical analysis to study scaling relationships and performance limits in neural networks, with applications to computer vision and space-based Earth observation.

Our primary partner on this project is the European Space Agency (ESA), an intergovernmental organization dedicated to advancing space exploration, scientific research, and innovative space technologies. Through its research and technology development programs, ESA supports emerging technologies that address the unique challenges of operating in space.

We are also collaborating with Mission Control, a Canadian space technology company specializing in AI and autonomous systems for space applications. Mission Control will contribute expertise in space-based AI and support the evaluation of compressed models for potential deployment on resource-constrained spacecraft.

Required Skills / Expertise

We are looking for a curious and motivated researcher with a strong foundation in physics and extensive hands-on experience in machine learning. The ideal candidate is excited about exploring fundamental scientific questions, translating theoretical ideas into rigorous computational experiments, and developing innovative approaches to challenging research problems at the intersection of physics and AI.

Key Responsibilities:

Contribute to developing the theoretical foundations for applying renormalization-group (RG) concepts to knowledge distillation and neural network compression, including formulating 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 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.
Collaborate with Amii researchers and contribute to scientific publications, technical reports, and open-source research tools.

Required Qualifications:

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 and proficiency with modern machine learning frameworks, particularly PyTorch.
Familiarity with computer vision concepts and techniques, including image classification, object detection, and segmentation. Hands-on experience in these areas is considered an asset.
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.

Preferred Qualifications:

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.

Non-Technical Requirements:

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.

Why You Should Apply

Conduct research at the intersection of fundamental physics and modern machine learning.
Work closely with experienced scientists in Amii's research community.
Contribute to scientific publications and open-source research tools with potential applications in space AI and resource-constrained computing.
Gain access to Amii's research community, professional development opportunities, and scientific events

About Amii

One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact

How to Apply

If this sounds like the opportunity you've been waiting for, please don’t wait for the closing November 19, 2026 to apply - we’re excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.

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More about this job

Responsibilities

The Research Associate will develop physics-inspired approaches to neural network compression and design numerical experiments to investigate model scaling. They will collaborate with research scientists to formulate mathematical frameworks and contribute to scientific publications and open-source tools.

Requirements

Candidates must hold a PhD in Physics or Mathematics with a strong foundation in statistical physics and renormalization group theory. Extensive experience in machine learning, Python programming, and proficiency with frameworks like PyTorch is required.

Skills

Machine learning
Statistical physics
Renormalization group theory
Neural network compression
Knowledge distillation
Python
PyTorch
Computer vision
Statistical analysis
Uncertainty quantification
GPU computing
Linux
Git
Architectural optimization
Information theory

Benefits

Professional development opportunities
Scientific events access

Visa sponsorship

Not detected in the job text

Hiring contact

David Staszak

Keywords

Machine Learning
Statistical Physics
Renormalization Group Theory
Neural Network Compression
Knowledge Distillation
Python
PyTorch
Computer Vision
Space AI
Edge Computing
Information Theory
Neural Architecture Search
GPU Computing
Linux
Git
Uncertainty Quantification
Scientific Research
Deep Neural Networks
Object Detection
Image Classification
Segmentation
Embedded Hardware
Amii
European Space Agency

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