Griffith University
Education
ResearchFellow
Neural analysis suggests this role is
optimal for mid candidates.
“Research Fellow at Griffith University. Skills: ontology generation, large language models, knowledge engineering, machine learning. Conduct theoretical and experimental research in knowledge engineering and machine learning systems. Build a publication record in high impact international journals and conferences”
What You'll Achieve.
Build a publication record in high impact international journals and conferences; actively pursue competitive research funding; evaluate and validate project outcomes
Industry & Context.
design and develop novel algorithms; automated ontology and knowledge graph construction; implement and fine‑tune advanced systems
may be required to work across other locations
What They're Looking For.
Must Have
PhD or equivalent qualifications in the area of Computer Science, Engineering, or Applied Mathematics, Research experience in ontology, knowledge graph and/or machine learning methods, Demonstrated publication record in high quality peer-reviewed journals and/or conferences in artificial intelligence, knowledge representation & reasoning, or machine learning, Capability to write research reports
What You'll Do.
Conduct theoretical and experimental research in knowledge engineering and machine learning systems
Build a publication record in high impact international journals and conferences
Actively pursue competitive research funding
Support research activities
including data collection
and the preparation of reports and scholarly articles in line with research protocols
Undertake literature reviews
Contribute to system design
Perform routine scientific testing
Coordinate meetings and engagement activities with researchers and external partners
Lead the preparation of publications
and research outputs arising from the project
Provide mentoring and supervision to higher degree research students
Contribute to teaching as needed
How You'll Work.
Team & Collaboration
work closely with PhD students; engagement activities with researchers and external partners; Provide mentoring and supervision to higher degree research students
Communication Scope
preparation of reports and scholarly articles; preparation of publications, presentations, and research outputs
Process & Methodology
Coordinate meetings and engagement activities
Full Job Description
Every institution values excellence. What matters most is why. Griffith was created to be a different type of university. You’ll find we’re about leading research, academic excellence, and the transformative power of education. But what sets us apart is why those things matter and how you’ll achieve them. Why? Griffith brings together exceptional minds like yours from across the globe and from all walks of life. Here, we do incredible work, questioning and challenging, always in the pursuit of excellence. About the Opportunity The [School of Information and Communication Technology](https://www.griffith.edu.au/griffith-sciences/school-information-communication-technology) at Griffith University is a leading school for education and research in computer science and information technologies. It offers innovative programs across areas such as artificial intelligence, cybersecurity, data science, software engineering, computer networking, and intelligent systems. With a strong emphasis on industry engagement and real-world applications, the School prepares graduates with the practical skills and knowledge needed to succeed in an increasingly dynamic and technology-driven world. We are seeking a Research Fellow to play a key role in the ARC Linkage project Ontology Generation with Large Language Models for Regulatory Processes. In this position, you will design and develop novel algorithms for automated ontology and knowledge graph construction, implement and fine‑tune advanced systems, and work closely with PhD students to evaluate and validate project outcomes. The role may also include contributing to the teaching activities within the School of ICT. Key Responsibilities * Conduct theoretical and experimental research in knowledge engineering and machine learning systems. * Build a strong publication record in high impact international journals and conferences, and actively pursue competitive research funding. * Support research activities, including data collection,
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