Prestigious Scientia PhD Scholarship on Panel Data Methods and Models

The International Society for Bayesian Analysis

Sydney

On-site

AUD 45,000 - 55,000

Full time

14 days+

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Benefits offered by this job

$40,000 tax-free stipend
Travel support package of up to $10,000

Job summary

A prestigious scholarship program in New South Wales seeks applicants for a Scientia PhD scholarship focused on panel data methods and health economics. Awardees will receive a $50,000 scholarship package over four years and access diverse research opportunities. This is ideal for those interested in statistical methods and their applications in real-world scenarios. Interested candidates should express their interest before July 21, 2017.

Qualifications

  • Strong background in statistical methods or a related field.
  • Interest in health economics and policy impacts.

Responsibilities

  • Develop novel statistical methods for analysis of individual responses.
  • Focus on government policy initiatives and health economics.

Job description

Prestigious Scientia PhD Scholarship on Panel Data Methods and Models

Prestigious Scientia PhD Scholarship on Panel Data methods and models.

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, aiming 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. For more information, visit http://www.2025.unsw.edu.au/apply/scientia-phd-scholarships/developing-flexible-latent-variable-methods-panel-data. General information about the UNSW Scientia PhD Scholarship Scheme can be found at http://www.2025.unsw.edu.au/apply/. Guidelines are available at http://www.2025.unsw.edu.au/apply/node/69/, and FAQs can be found at http://www.2025.unsw.edu.au/apply/unsw-scientia-phd-scholarships-faqs.

This project will develop novel statistical methods motivated by substantive problems involving analysis of individuals responding to changes in their work and personal environments, focusing on health economics and changes such as government policy initiatives or unexpected health shocks.

The supervisory team includes Scientia Prof. Robert Kohn, Prof. Scott Sisson, Prof. Denzil Fiebig, and Prof. Denise Doiron. For more details, contact R.Kohn@unsw.edu.au.

Equal Employment Opportunity: UNSW is an equal opportunity employer committed to diversity and social inclusion. Applications from the community are encouraged.

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