Dr. David Burton

Assistant Professor

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Biography

David is an experimental fluid dynamicist with particular expertise in wind tunnel field aerodynamic and aero-acoustic testing. His primary research themes include wind engineering, industrial aerodynamics, and sports aerodynamics, with a focus on design within societal regulatory contexts. For ten years, he has managed the Monash Wind Tunnel Research Platform (MWTRP), overseeing administrative and technical research components across a diverse range of aerodynamic projects that span from applied to purely fundamental research. MWTRP is an ISO9001 accredited research platform that includes the largest wind tunnel facility in the Southern Hemisphere, alongside CNC machining and rapid prototyping capabilities. The staff comprises postgraduate engineering students, designers, technical officers, and postdoctoral researchers. MWTRP provides aerodynamic testing and numerical simulation research services for industries such as automotive, defense, building construction, unmanned aerial vehicles, wind energy, and sports performance, balancing commercial testing with education and fundamental research activities. His expertise aligns with several UN Sustainable Development Goals, contributing to global efforts to end poverty, protect the planet, and ensure prosperity for all.

Research Interests

Experience

Senior Lecturer

2013-01-01 — Present

Monash University • Melbourne, VIC, Australia

Senior Lecturer in engineering with a focus on wind tunnel research.

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.