Sort by
Refine Your Search
-
evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
-
natural language processing, multi-agent systems, reinforcement learning, or knowledge representation would be advantageous but is not strictly required. Strong analytical and problem-solving abilities, as
-
trustworthy decision support. This PhD project aims to develop next-generation Trustworthy Agentic AI frameworks that integrate multi-agent collaboration, large language models, retrieval-augmented generation
-
of cybersecurity where AI systems are no longer passive detection tools, but active cyber defenders. The project investigates how large language models, multi-agent systems, reinforcement learning, and secure
-
-to-Agent (A2A), etc. Strong understanding of passwords, multi-factor authentication (push, otp, passkeys, tap), federation, trusts, cryptography/certificates (public/PKI). Familiarity with automation
-
This project aims to combine causal analysis, large language models (LLMs), and multi-agent reasoning to accelerate scientific discovery in mental health support. Modern psychiatry and clinical
-
on social dilemmas, i.e., situations where poor group outcomes arise from optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and
-
systems to manage research program data and systems science workflows Work with scientists to deliver national energy transition impact About CSIRO As Australia's national science agency, CSIRO is solving
-
What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
-
LLM-agent-driven tools that reconstruct network topology, services, and administrator intent from partial information during crises, enabling rapid situational awareness across diverse, multi-vendor