About the Opportunity
Would you like to contribute to the evolution of Ericsson's 5G, 6G, and Cloud RAN solutions while exploring Artificial Intelligence and Software Engineering? This thesis opportunity focuses on improving software quality in large-scale systems where correctness, reliability, and availability are essential.
Modern development uses static and dynamic analysis, testing, code coverage, maintainability metrics, and defect history to identify quality issues. However, developers often need to manually interpret and correlate findings from multiple sources before deciding where to focus verification efforts.
Large Language Models (LLMs) offer strong capabilities in code understanding, reasoning, and defect analysis. Their use in large software systems is challenged by limited context windows, computational cost, and the risk of unsupported conclusions. This thesis will investigate whether LLMs can improve fault discovery by reasoning over structured software-quality evidence rather than raw source code alone.
The central hypothesis is that combining deterministic analysis with probabilistic LLM reasoning can identify additional fault candidates, improve verification prioritization, and reduce the cost of applying LLMs to large codebases.
What You Will Do
You will investigate and develop an evidence-guided approach to AI-assisted software quality analysis. Your work may include:
- Collecting and structuring software-quality evidence from static and dynamic analysis, test coverage, maintainability metrics, code smells, historical defects, and bug reports.
- Investigating whether analysis findings improve LLM-based defect detection and whether LLMs can identify fault candidates beyond those reported by existing tools.
- Exploring compact, machine-consumable, and token-efficient representations of large codebases and quality evidence.
- Evaluating which quality indicators provide the greatest analytical value relative to token usage and computational cost.
- Analyzing how undefined behavior affects the reliability and trustworthiness of LLM-generated recommendations.
- Investigating whether LLMs can help developers understand, explain, and prioritize potential false positives from static analysis.
- Designing and conducting experiments to evaluate accuracy, effectiveness, and cost efficiency.
The Skills You Bring
- Currently pursuing a master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Theoretical Computer Science, or a related field.
- Strong programming skills in Python, C, or C++.
- An interest in LLMs, Generative AI, software quality, and program analysis.
- Knowledge of software testing, static or dynamic analysis, compilers, or software verification is beneficial.
- Familiarity with machine learning, data science, or AI-assisted software development is a plus.
- Strong analytical, problem-solving, communication, and presentation skills in English.
- A curious, and self-driven mindset, with the ability to work independently and collaborate effectively.
Skills Required
- Currently pursuing a master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Theoretical Computer Science, or a related field
- Strong programming skills in Python, C, or C++
- Interest in LLMs, Generative AI, software quality, and program analysis
- Strong analytical, problem-solving, communication, and presentation skills in English
- Curious and self-driven mindset with the ability to work independently and collaborate effectively
- Knowledge of software testing, static analysis, dynamic analysis, compilers, or software verification
- Familiarity with machine learning, data science, or AI-assisted software development
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — U.S. job postings describe multiple medical plan options (including PPO and HSA‑eligible HDHP) plus dental and vision, aligning with a comprehensive medical suite. Corporate materials also emphasize wellbeing resources and EAP support.
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Retirement Support — Company communications and U.S. materials reference market‑competitive retirement benefits, including a 401(k) with automatic employer contributions and additional matching. Investor and benefits materials signal a structured approach to total rewards that includes long‑term savings programs.
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Parental & Family Support — U.S. and EWS guides and postings highlight paid maternity and parental/adoption leave at full pay, alongside structured short‑term disability at full pay for defined weeks by tenure. These programs are positioned as part of a family‑friendly, work‑life‑balance offering.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
