PhD: Self-Evolving Agents: Continual, Trustworthy, and Resource-Efficient Agentic AI

PhD: Self-Evolving Agents: Continual, Trustworthy, and Resource-Efficient Agentic AI This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in agentic AI, supervised by Dr Teresa Wang and Dr Tongtong Wu at Monash University, jointly with Dr He Zhao and Dr Dan Steinberg from CSIRO, Dr Yue Yang and David Lemphers from Maincode. Advances in large language models and agentic AI have enabled autonomous systems that can reason, plan, retrieve information, and use external tools. However, most existing agent frameworks remain largely static: their knowledge, internal organisation, and coordination strategies are typically predefined.