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Topic

Large Language Models for Next Generation Engineering

15 April 2025

Host Faculty: Engineering

General Subject Area: Mechanical Engineering

Project Level: PhD

HOW TO APPLY

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

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