Institution (Location)
Deakin’s Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Faculty of Health.
Start Date
November 20, 2017
$26,682 per annum tax exempt (2017 rate)
Position Description

A PhD scholarship is available in Deakin’s Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Faculty of Health. The PhD student will initiate and conduct research on the topic ‘Harnessing parks as a public resource for active living and social connectedness’ led by Dr Jenny Veitch. The successful applicant will be based at the Melbourne Burwood Campus, Australia.

project will investigate what park features are necessary to promote physical
activity and increase park visitation, park-based physical activity and social
connectedness among children, adolescents, adults and older adults. It will be
nested within an ARC Discovery Project.

This project would suit applicants with a background in
exercise science, health science, health promotion, or landscape architecture
and have an interest in the built environment and physical activity.

Value and duration
  • A stipend of $26,682 per annum tax exempt (2017 rate)
  • A relocation allowance from $500 to $1,500 (2017) awarded to students who are moving from interstate or overseas in order to study at Deakin
  • 12 weeks paid sick leave
  • 12 weeks paid parental leave
  • For international students only: Tuition fee and overseas health coverage for the duration of four years.


3 Years

Candidate’s Qualifications (who should apply)
Applicants must meet Deakin’s PhD entry requirements, be enrolling full time and hold an Honours degree (First Class) or a Master’s degree with a substantial research component. Applicants must have fluency in English (evidence of English proficiency is required), be highly motivated, and able to work in a multidisciplinary team.

Additional desirable criteria include:
  • Previous research experience in physical activity and/or dietary behaviour is desirable but not essential

  • Having a level of competence in data analysis, data mining, or statistical analyses would be also desirable

How to Apply
+61 3 9251 7723



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