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JobbSafariLediga jobbMaster thesis; Securing AI-Generated Dependencies

Master thesis; Securing AI-Generated Dependencies

Ericsson AB
Ny

Sammanfattning

This Master's thesis opportunity focuses on slopsquatting, a software supply chain attack involving AI coding assistants that suggest non-existent software packages. The research will investigate the implications for enterprise software development, particularly in package ecosystems like npm and PyPI, and explore secure dependency management and CI/CD controls. The work will be conducted in Stockholm, Sweden, and is relevant to organizations adopting AI tools in software engineering.
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Det här erbjuder vi

Opportunity to work on cutting-edge research relevant to AI and software engineering.Collaboration with a diverse team of innovators at Ericsson.Potential for direct impact on enterprise software development practices.

Stockholm

Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-29

Beskrivning

Join our Team

About this opportunity:

Join us for a Master's thesis exploring slopsquatting, a software supply chain attack in which AI coding assistants recommend non-existent software packages that attackers can register and exploit. You will investigate how this risk affects enterprise software development, particularly in package ecosystems such as npm and PyPI, and examine how secure dependency management and CI/CD controls can support safer AI-assisted development. The work will have direct relevance to Ericsson and other organisations adopting AI tools in software engineering.

What you will do:

You will conduct a literature review and perform controlled experiments with AI coding assistants to measure how frequently they suggest non-existent dependencies. You will assess the exposure of selected language models, analyse how phantom dependencies could enter enterprise development workflows, and evaluate the ability of existing security controls-such as dependency scanners and SBOM-based processes-to detect or prevent them. Based on your findings, you will propose practical mitigation measures, including dependency verification, improved developer guidance and DevSecOps controls. The empirical work will use public or synthetic data rather than confidential Ericsson code, and your findings will be documented in a thesis report and presented to relevant stakeholders.

The skills you bring:

  • Background in computer science, cybersecurity, software engineering, artificial intelligence, machine learning or similar
  • Good programming skills, preferably in Python or JavaScript, along with a basic understanding of AI, machine learning and large language models
  • Knowledge of software supply chain security, secure development practices or CI/CD is beneficial
  • Analytical, curious and research-oriented mind, with a proactive and independent approach to problem-solving
  • Strong spoken and written English skills, together with the ability to communicate, document findings and collaborate effectively, are essential.


Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Sweden (SE) || Stockholm

Req ID: 790993

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Master thesis; Securing AI-Generated Dependencies

Ny
Denna arbetsplats har annonserats på Ericsson-tjänsten den 2026-09-29 och publicerades av Ericsson.
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