Master Thesis – Performance Validation of Edge AI Video Analytics
Based in Sweden
Core
Develop a prototype framework for automated testing, data collection, and performance analysis of end-to-end Edge AI video analytics systems.
Role type
Master thesis researcher (Computer Vision / Edge AI)
Builds
Automated validation framework for edge video analytics
Domain
Computer Vision, Edge AI, Deep Learning, Applied Statistics
Deliverable
research
Required skills
Computer Vision, Machine Learning, Deep Learning, Statistics, Software Engineering
Preferred skills
Robotics and Automation, Data Science, Applied Mathematics
Responsibilities
Review existing AI benchmarking methods, define standardized system testing methodology, develop software for automated test execution, apply statistical methods to analyze performance variability, document results and provide recommendations
