A prestigious educational institution is seeking PhD candidates for a winter 2026 internship on its Engineering Security team. Interns will work closely with professionals to develop AI agents aimed at enhancing security and privacy. Responsibilities include researching AI-driven solutions, designing automated workflows, and collaborating with engineers for production integration. Candidates should be current PhD students with a strong understanding of the LLM ecosystem, excellent Python skills, and a demonstrated ability for independent research.
Qualifications
Current PhD student in Computer Science, Artificial Intelligence, or Security.
Strong understanding of LLM ecosystem and agentic AI frameworks.
Demonstrated ability to conduct independent research.
Responsibilities
Research and prototype AI-driven agents to discover and remediate vulnerabilities.
Design automated patching and verification workflows using LLMs.
Collaborate with teams to integrate solutions into production systems.
Skills
Understanding of LLM ecosystem
Proficiency in Python
Experience with ML frameworks
Independent research ability
Problem-solving skills
Communication skills
Education
Current PhD student in relevant field
Tools
PyTorch
TensorFlow
Job description
A prestigious educational institution is seeking PhD candidates for a winter 2026 internship on its Engineering Security team. Interns will work closely with professionals to develop AI agents aimed at enhancing security and privacy. Responsibilities include researching AI-driven solutions, designing automated workflows, and collaborating with engineers for production integration. Candidates should be current PhD students with a strong understanding of the LLM ecosystem, excellent Python skills, and a demonstrated ability for independent research.