This PhD project explores the intersection of engineering, computer science, and neuroscience by leveraging large language models (LLMs) for intelligent design, manufacturing, and neural engineering. Key areas of focus include advanced prompt engineering strategies, orchestrating multiple collaborating agents, and integrating external tools to enrich problem-solving capabilities. By combining data-driven insights from LLMs with domain-specific engineering knowledge, the research aims to streamline design processes, optimize manufacturing workflows, and open new frontiers in neural engineering applications. Ultimately, this interdisciplinary approach will yield more efficient, adaptive, and context-aware solutions, driving innovation across various engineering sectors.
Supervisors
Primary Supervisor: Yilei Zhang
Key qualifications and skills
Bachelor or Master degree in engineering or science, with a demonstrated passion and/or expertise in AI.
Does the project come with funding
Yes: UC or department scholarship
Final date for receiving applications
Ongoing
How to apply
By email to yilei.zhang@canterbury.ac.nz
Keywords
large language models (LLMs), intelligent design, robotic manufacturing, neural engineering
