Master Thesis – AI Assistant for R Code Review

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Artificial Intelligence

In short

This Master's thesis focuses on developing an AI-based "Coding Buddy" to assist in reviewing R code for crash-data analysis. The project aims to improve the quality and efficiency of code review by leveraging AI, Large Language Models (LLMs), and potentially Retrieval-Augmented Generation (RAG), incorporating domain-specific knowledge and comparing results against manual review processes.

Responsibilities

Develop an AI-based Coding Buddy for reviewing R code
Define a structured analysis specification and error taxonomy
Build a labelled benchmark dataset of R scripts
Use synthetic data and intentionally introduced coding errors for development and testing
Explore how domain-specific knowledge can be incorporated into the AI solution
Evaluate the Coding Buddy against manual code review
Measure its ability to identify errors and reduce manual review effort
Identify and describe the strengths and limitations of the solution
Deliver a working prototype, thesis report and final presentation

Requirements

Experience with R programming
Experience with Python
An interest in AI, machine learning and data analysis

Desired Qualifications

Knowledge or experience in AI/ML, Large Language Models (LLMs) or RAG is considered an advantage
Curious, analytical and motivated by the opportunity to turn emerging AI technologies into a practical solution for real-world research

Benefits

Opportunity to work at the intersection of Artificial Intelligence, software development and traffic safety research
Explore how modern AI techniques can be transformed into a practical industrial application
Work with a real research use case

Skills

RPythonAIMachine LearningLarge Language ModelsRAGdata analysis

#AI#R#Code Review#Thesis#Master's Thesis#LLM#RAG

About Autoliv

Autoliv, Inc. is the worldwide leader in automotive safety systems. We develop, manufacture and market protective systems, such as airbags, seatbelts, steering wheels and pedestrian protection systems for all major automotive manufacturers in the world. Our products save 37,000 lives and prevent 450,000 injuries each year. Our ~65,000 employees in 25 countries are passionate about our vision of Saving More Lives and quality is at the heart of everything we do. We have 13 technical centers, with 20 test tracks. In the world of automotive occupant safety, we were the first to introduce the two-…

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