Dr Zhang is a lecturer of data science at the School of Business, UNSW Canberra. 

His research interests contain text mining and analysis, knowledge and information management, social computing, and bibliometric analysis. 

He has applied his research to interdisciplinary areas and focused on publishing in prestige journals and conference, including Information Processing & Management, Journal of Informetrics, China Economic Review, Studies in Higher Education, AAAI, CIKM, and PAKDD, etc.

***Scholarships of $38,438 (AUD) per annum are available for outstanding research students, including PhD, Professional Doctoral, Master by Research, and Master by Philosophy.***

Several competitive scholarships are available to support highly motivated and talented candidates. A self-assessment tool is available to gauge your competitiveness. You need to meet the English language requirements.

Undergraduate students (Top 15%) or master’s students (Top 20%) in disciplines such as information management, asset management, and logistics are preferred, but highly capable candidates from other fields with relevant expertise are also welcome to apply.

If you are eligible and interested in working on the following (or closely related) topics, please send me your CV, Academic Transcripts, and a Research Proposal covering research motivation, research problems, research objectives and questions, a brief review of the most relevant literature, your proposed methodology, the type of data you need, and expected outcome.

Research Topics:

• Machine learning for information and knowledge management
• Graph data representation and heterogeneous network analysis
• Data and text mining for asset management
• Industry-led information systems and management
• Sustainable logistics and supply chain management
• Net-zero energy solutions for green buildings and transportation

For more information, please refer to how and when to apply for a preferred research program.