Dr. Cameron Gosling

Assistant Professor

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Biography

Cameron Gosling has been a staff member at Monash University in the Department of Paramedicine since 2016. He previously held positions as a Research Fellow in the Department of Epidemiology and Preventive Medicine at Alfred Hospital from 2009 to 2013, and in the Department of Physiotherapy from 2013 to 2016. His background includes sports science and physiology, with a particular focus on injury epidemiology. Currently, he serves as a Senior Lecturer and Higher Degrees Research Coordinator in the Department of Paramedicine. Gosling's primary research interests lie in injury epidemiology, particularly related to sports and workplace traumatic injuries, as well as safety in paramedic education practice. He employs a range of quantitative and qualitative methodologies across diverse projects in paramedicine. Additionally, his work aligns with the UN Sustainable Development Goals, contributing to global efforts to end poverty and protect the planet.

Research Interests

Experience

Senior Lecturer and Higher Degrees Research Coordinator

2016-01-01 — Present

Monash University • Melbourne

Leading educational and research initiatives in the Department of Paramedicine.

Research Fellow

2009-01-01 — 2013-12-31

Monash University • Melbourne

Conducted research in the Department of Epidemiology and Preventive Medicine.

Research Fellow

2013-01-01 — 2016-12-31

Monash University • Melbourne

Specialized in projects within the Department of Physiotherapy.

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.