Apply graph theory and optimization to intelligent decision models as an Architecture Research Intern at AMA. This is a 12-month opportunity with possible extension.

You will connect mathematical research with practical products supporting AMA members and travel experiences. The work focuses on dynamic prospect networks, decision support, and advanced modelling. Your research may progress from prototypes into production environments while addressing changing needs, preferences, constraints, and data. The role suits quantitative researchers interested in graph algorithms, combinatorics, operations research, or mathematical modelling.

Key Responsibilities:

- Research dynamic Graph Networks of Opportunities
- Apply graph theory, network analysis, and optimization




- Design scalable data models and update mechanisms
- Build explainable decision support recommendations
- Evaluate algorithms using quantitative evidence

Requirements:

- Pursuing or completing an MSc or PhD
- Mathematics, applied mathematics, physics, or related quantitative field
- Passion for optimization and decision science
- Ability to communicate complex concepts clearly
- Comfort navigating ambiguity and collaborating

Develop graph algorithms, optimization models, and practical recommendations while helping AMA advance member and travel experiences.

📌 Optimization Research Intern Graph Algorithms (Edmonton)
🏢 Alberta Motor Association
📍 Edmonton