Dr. Alexa Delbosc

Associate Professor

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Biography

Alexa Delbosc is an Associate Professor at the Monash Institute of Transport Studies, Department of Civil Engineering at Monash University. She graduated from Harvard with a Masters in Social Psychology and aims to apply her social science research skills to solve real-world transport problems. Her research addresses the role of e-scooters in urban transport systems, examines the travel behavior of diverse groups such as young adults and women from various ethnic backgrounds, and explores the evolving mobility trends among millennials. Her project on travel behavior has earned her the prestigious Discovery Early Career Research Award from the Australian Research Council. Delbosc's research is pivotal within the intersection of transport engineering and social science, reflecting an emerging frontier in transport research that informs both policy and planning. Her collaborations extend to various industry and government contacts, contributing significantly to the understanding of transport systems and public policy.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Monash University • Melbourne, Australia

Conducting research on transport systems and social behavior.

Awards

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Discovery Early Career Research Award

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Advancing Women's Research Success Grant

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Australian Road Research Board Inaugural Research Impact Award

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2016 Dean's Award for Research Impact

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Excellence Research Early Career Researcher

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.