Description
Ericsson is hiring a Master Thesis student to build and evaluate a semi-automated contribution assistant for its validation framework. The role develops a workflow that combines deterministic software-engineering tools, framework-specific rules, and AI-assisted analysis to assess contributions, provide actionable feedback, suggest or apply fixes, and generate structured pre-review summaries. The student will evaluate the prototype against representative contributions and measure contributor effort, reviewer time, review iterations, detected issues, false positives, code quality, and usability. The position requires studies in Computer Science, Software Engineering, Electrical Engineering, or a related field, Python experience, and interest in software quality, automation, static analysis, developer tooling, or code-review workflows.
