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PhD Scholarship - Making predictions beyond model-based clustering for mixed type data
Scholarship details
| Study levels | Ph D |
|---|---|
| Value | $35,000 stipend per annum, plus Tuition Fees for 3 years |
| Close date | Wednesday, 1 October 2025 |
| Domestic/international | Both domestic and international |
About the scholarship
This scholarship aims to create new methods for clustering mixed-type survey data and calibrate the relationship between derived cluster memberships and a limited proxy data set. The successful candidate will develop a novel structure for clustering mixed-type data and build predictive models, joining a research team of experts in categorical data analysis, computational methods, and models for ordinal data.
Entry requirements
We are seeking a highly motivated person with an excellent academic record, familiar with the mathematical theory and computational methods of statistics. The ideal candidate will have an Honours or Masters degree with an excellent GPA, a background in statistics, data science, or a related field, strong programming skills (preferably in R), and excellent written and oral communication skills in English. An interest in contributing to a wide range of areas in the development of statistical methodology is also required. Applicants must also meet the entry requirements for PhD study at Victoria University of Wellington. Refer to the Wellington Faculty of Graduate Research.