18 statistics positions at RMIT University

PhD scholarship in Statistics and Data Analytics

A student with a strong background in statistics with Honours or Masters, excellent computing skills in R or Python, and an interest in working with biochemists and medical researchers. A student

PhD Scholarship in Identifying Neighbourhoods that Support Children with Disability

information systems) Have a strong background in quantitative research and methods, including handling large datasets Have a sound understanding of statistics and experience using multi-level statistical

PhD Scholarship in Using Virtual Reality to Better Understand Evacuation Behaviour in Bushfires

., routing decisions through bushfire-affected communities); conduct experiments with participants to collect data on decision-making during simulated bushfire events; and develop statistical models

Data Scientist

responsible for delivering key insights, information and data products to stakeholders across the university by leveraging techniques such as statistical modelling, machine learning and data visualisation. You

Data Analyst

governance framework of the university. To be successful in this position, you’ll have as a minimum: Demonstrated experience and understanding of basic statistical tests, distributions, and a range of analysis

RMIT CSIRO Industry PhD Program

finite element analysis (FEA). Data Analysis and Statistics: Knowledge of statistical software packages (e.g., R, Python, SPSS) and data visualisation techniques. Desirable experience Experimental Skills

Research Fellow (Postdoctoral), Computational Geospatial Data Scientist

science and application of statistics Knowledge and experience in R studio and spatial databases To Apply Please submit your CV and letter addressing the Key Selection Criteria numbers 1-5 and 8 and 11 (from

Sales & Conversion Performance Reporting Manager

operating environment. To be successful in this position, you’ll have as a minimum: Demonstrated advanced capability in statistical analysis approaches and other analysis techniques. Demonstrated experience

Bayesian Approaches to Screening Designs of Experiments

with A- or D-optimality. In order to overcome the difficulties with classical designs related to the dependence on an assumed statistical model, the number of blocks, sample size, and multi-stratum

PhD Scholarship in Global and Urban Social Studies

completing a research degree with a demonstrated research component and experience in statistical analysis. Good written and verbal communication skills, with an ability to explain technical detail to non