We seek expressions of interest from prospective students to undertake a PhD in biostatistical methods. The proposed research will investigate methods to handle missing data in complex longitudinal cohort studies, particularly in the context of modern analytic methods (e.g. causal inference approaches). This will involve evaluation and extension of methods for handling missing data, particularly multiple imputation. This is a very topical area of research. The research will be motivated by case studies from major Australian multi-wave cohort studies such as the Longitudinal Study of Australian Children and a number of other such studies based at the Murdoch Children’s Research Institute, e.g. the Victorian Adolescent Health Cohort Study. The PhD will be conducted through the University of Melbourne and the successful candidate will be based at the Murdoch Children’s Research Institute. The candidate will be supported within the broad research environment of the Victorian Centre for Biostatistics (ViCBiostat). See http://www.vicbiostat.org.au/ for more information on the various research projects conducted by our group. Graduates with strong background in biostatistics or statistics are encouraged to apply. Please contact Dr Margarita Moreno-Betancur (firstname.lastname@example.org) for more details.
Provided by: The University of Melbourne
The supervisors would support the prospective candidate’s application for a Graduate Research Scholarship, to commence early to mid-2019. This scheme supports students for a period of 3 years, with a stipend of approximately AUD $30,000.00 p.a. which is not subject to income tax.
See https://scholarships.unimelb.edu.au/awards/graduate-research-scholarships for more details. Students who successfully attract a Graduate Research Scholarship will receive a top-up scholarship to the value of AUD $6,000.00 p.a. There are also opportunities for further paid teaching work to supplement this income.
To express interest in this opportunity please email email@example.com attaching your CV and record of prior study by 31 January 2019.