Master Thesis – Performance Validation of Edge AI Video Analytics

Sweden - Lundonsite

Posted today · via Workday

About this role

Job Title Master Thesis – Performance Validation of Edge AI Video Analytics Job Description Category Computer Vision, Artificial Intelligence, Edge AI, Deep Learning, Statistics, Automation Scope One or two students completing a 30-credit Master thesis each Background Edge AI video analytics enables object detection and event generation directly on cameras, providing actionable insights in real time for applications such as security, safety, business intelligence, and operational efficiency. Annotated datasets are widely used when developing deep learning models, but they are not available in edge deployments, where cameras continuously monitor live scenes. In addition, analytics performance can be affected by environmental conditions, camera installation, and system load.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

We compare your skills against the role requirements.

2

Level fit

We check your title trajectory against the seniority signal of the role.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Sweden - Lund. We weight your proximity and willingness to relocate.

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