Cybersecurity & AI Research Intern: AI-Assisted Vulnerability Validation and Prioritization

Cybersecurity & AI Research Intern: AI‑Assisted Vulnerability Validation and Prioritization

We are seeking multiple Research Interns who are currently pursuing a Bachelor’s or Master’s degree and are interested in cybersecurity, software engineering, and applied AI. The interns will support a research effort focused on building a benchmark and evaluation workflow for vulnerability analysis, validation, and prioritization in software dependency chains. They will analyze chains of vulnerabilities in software projects to establish ground‑truth data showing whether and how a project is affected by vulnerabilities in its dependencies.

Interns will also support the use of advanced large language models (LLMs) to identify, validate, and confirm the presence of vulnerabilities, evaluate model performance against the benchmark, and use AI‑assisted validation results to help build improved vulnerability prioritization methods.

• Support the design and development of a benchmark for dependency‑related vulnerability analysis and validation.
• Help prepare benchmark assets, including vulnerable projects, dependency configurations, test cases, validation criteria, and supporting documentation.
• Use advanced LLMs and AI‑assisted workflows to identify, assess, and validate vulnerabilities in software projects and dependencies.
• Contribute to the development of prioritization methods that leverage AI‑assisted validation results, technical context, and dependency analysis.
• Help identify signals that improve prioritization beyond severity scores alone, such as exploitability, reachability, dependency usage, exposure, and remediation complexity.
• Document methods, findings, experimental setup, benchmark assumptions, and evaluation results for internal use and future research activities.
• Present status reports and results in internal reviews and contribute to publications.

• Currently enrolled full‑time as a Bachelor’s or Master’s student in Cybersecurity, Computer Science, Software Engineering, Data Science, or a related STEM field.
• Strong interest in software security, vulnerability management, software supply chain security, and applied AI, including experience with open‑source LLM tooling and evaluation frameworks.
• Understanding of CVEs, security advisories, dependency‑related vulnerabilities, vulnerability validation, software dependencies, and build processes.
• Familiarity with package managers and tools such as pip, npm, Maven, Gradle, Poetry, or similar.
• Exposure to vulnerability data sources or tools such as NVD, Git Hub Security Advisories, OSV, Snyk, or similar.
• Experience with Linux, Git, Docker, and scripting or reproducible test environments.
• Proficient in English, both written and verbal.
• Authorized to work in the United States without company sponsorship for the duration of the internship.

• Strong analytical, problem‑solving, and communication skills.

This internship is offered as an on‑site internship in our office in Princeton, NJ, USA. It is not a remote position. Key benefits include a competitive hourly pay range of $32.00–$47.00, relocation and housing allowances (subject to eligibility), and access to Siemens health and wellness benefits.

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender status, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state, or local law.

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