Higher Degree by Research Application Portal
| Title | PhD Project - Advanced Data to Knowledge Platform |
|---|---|
| Supervisor | Dr Wei Liu |
| Research area | Information and Computing Sciences |
| Project description | Recent advancements in data analytics, particularly in machine learning and artificial intelligence, have revolutionised the mining industry by enhancing the robustness and efficiency of data interpretation across the mining value chain. However, integrating and interoperability diverse data types and databases remain significant challenges for organisations. To address these challenges, this project proposes the development of an advanced data-to-knowledge platform within Research Program 6 (Data Analytics). This platform aims to facilitate the seamless transformation of data into trustworthy knowledge across the exploration, characterisation, and processing themes of the Industry Transformation Training Centre (ITTC). At its core, the proposed platform leverages knowledge graph technology to establish relationships among disparate data sources and enable hierarchical insights retrieval. The platform, with its ability to accelerate scientific discoveries, enables intelligent data consumption and supports complex queries across siloed data repositories by integrating structured and unstructured data through semantic enrichment. This capability not only accelerates scientific discoveries but also enhances decision-making processes with explainable domain insights. The project addresses several critical research questions: 1. Geoscience Knowledge Graph Construction and Alignment: How can human knowledge and data-derived insights be integrated into a knowledge graph to facilitate trustworthy information retrieval and decision support across different data sources? 2. Anomaly and Novelty Detection: How can anomaly detection techniques, such as variational autoencoders, be applied to uncover anomalous patterns in geological data across exploration, characterisation, and processing themes?
3. Geoscience Knowledge Graph Refinement and Continuous Enrichment: How can inconsistencies and disagreements in geoscientific data interpretation be systematically addressed through continuous knowledge graph refinement and conflict resolution mechanisms? |
| Opportunity status | Open |
| Open date | 01 Aug 2024 |
| Funding source | ROAP - 2023\GR001593 00766/ 31001900 IC230100035 Fiorentini ITTC HDR ARC scholarship for ARC Training Centre in Critical Resources for the Future |
| School | School of Earth Sciences |
| School of Physics, Mathematics and Computing | |
| Contact | Associate Professor Wei Liu Natasha Bartlett E natasha.bartlett@uwa.edu.au
|
| Specific project requirement | 12 month industry placement experience |
| Additional information | ARC ITTC Critical Resources for the Future |
| Course type | Doctorates |
Guidance
Ensure you meet the requirement for a PhD at UWA - How to apply : The University of Western Australia
To be considered for the stipend scholarship please send an EOI to https://app.smartsheet.com/b/form/5df74c4345ba4476bc944f4f3272448e and select UWA08: Data to Knowledge Platform for Geoscience
Please provide a short introduction (no more than 500words)
Please include:
Why are you interested in the research project/s you have selected?
What will you bring to the Centre in Critical Resources for the future focused on industry-related research?
What benefits do you see from spending twelve months embedded in the industry while completing your PhD research?
Please provide the following documents*
Curriculum Vitae (CV) (Resume)
Academic Record include your grade point average (GPA score)
If not included in the above, please send include any information that will support your application including
Scholarly papers involving a substantial contribution as an author, appearing in recognised academic journals or in volumes published by recognised academic publishers.
Research or technical reports prepared for industry, government or business, which identify you as a significant contributor.
Demonstrable industry or work experience where you can demonstrate that you have planned and executed a project, working with a high level of independence.
International students, please provide any of the following English language requirements
• IELTS (Academic) scores or
• Paper-based TOEFL scores or
• Internet-based TOEFL scores or
• Pearson’s Test of English (academic) (PTE) score
Scholarships
Available scholarships in this opportunity.
PhD Scholarship ARC Training Centre in Critical Resouces for the Future ITTC Stipend Scholarship
