PhD Scholarship: Responsible Infrastructure for Agentic AI Systems
Core
Develop methods to improve the reliability, accountability, and resilience of shared runtime components for autonomous and multi-agent AI systems.
Role type
PhD Researcher (Responsible Infrastructure for Agentic AI)
Builds
Research outputs on agent memory, shared state, tool-use workflows, retrieval-augmented generation, context management, and runtime monitoring.
Domain
Artificial Intelligence / Software Systems / Responsible AI
Deliverable
research
Required skills
analytical skills, programming skills, problem-solving skills, independent research capability
Preferred skills
background in AI, machine learning, software systems, multi-agent systems, peer-reviewed publications
Technologies
agentic AI systems, multi-agent coordination, AI governance, software systems, emerging digital infrastructure
Responsibilities
Investigate responsible design, evaluation, and governance of infrastructure for agentic AI systems; collaborate with academic researchers, industry partners, and interdisciplinary stakeholders.
Seniority
PhD Candidate (Researcher)
