About this Program
This scholarship is for high-achieving students in Statistics and Data Science with an interest in pursuing a PhD researching model-based clustering methodology.
Eligibility
We are seeking a highly-motivated person with an excellent academic record, a good understanding of statistics and an interest in contributing to cutting-edge research relating to clustering and mixed-type data.
- International or domestic students may apply.
- Applicants must have completed a Masters degree in statistics or data science (or an Honours degree)
- Applicants must have a minimum GPA of 8 (out of maximum GPA 9).
- Applicants must satisfy the standard VUW PhD entry requirements, including English language proficiency.
- Applicants must be proficient in the R programming language.
In addition to knowledge of statistics and R, experience in at least one of the following areas would be highly beneficial:
- Clustering, especially model-based clustering
- Genetics
- Algorithm/methodology development
- R package development
- Simulations and modelling
Study area
- Science
