Applications are now open for the prestigious UNSW Scientia PhD Scholarship Scheme on the project Panel data Models and Methods under the supervision of Scientia Professor Robert Kohn, Professor Scott Sisson, Professor Denzil Fiebig and Professor Denise Doiron
The UNSW Scientia PhD Scholarship Scheme is the most prestigious and generous scholarship scheme at UNSW and it aims to attract the best and brightest people into strategic research areas. Awardees receive a $50,000 scholarship package for four years, comprising a $40,000 per annum tax-free stipend and a travel and development support package of up to $10,000 per annum. International students also receive a tuition fee scholarship.
In addition to this scholarship package, scholars are provided with access to a range of development opportunities across research, teaching and learning and leadership and engagement.
The successful applicant(s) will also be affiliated with the Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) and will be able to access the resources of ACEMS.
Applicants should submit their expression of interest by 21st July 2017 but are encouraged to do so as early as possible. Go to http://www.2025.unsw.edu.au/apply/scientia-phd-scholarships/developing-flexible-latent-variable-methods-panel-data
More info about UNSW Scientia PhD Scholarship Scheme
General info: http://www.2025.unsw.edu.au/apply/
Information about the project
This project will develop novel statistical methods motivated by substantive problems involving analysis of individuals responding to changes in their work and personal environments. Our focus will be health economics and changes such as government policy initiatives or unexpected health shocks where concerns arise about inequality in healthcare. For example, are there important differences associated with socio-economic status or insurance coverage in treatment and financial burdens occurring after a health shock? Such questions are best answered using panel data where individuals are tracked over time. Methods developed will exploit such data and will apply outside the planned applications in health.
Feel free to contact Prof Robert Kohn (R.Kohn@unsw.edu.au) for more details.