Dr. Julie Arblaster

Professor

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Biography

Julie Arblaster is a renowned researcher in the field of climate science, currently serving as a professor at Monash University. With over a decade of experience at the Australian Bureau of Meteorology, she has established herself as a pivotal figure in climate extremes and variability research. Julie's academic journey is complemented by her strong collaboration with national and international institutions, including the National Center for Atmospheric Research in the United States. Her expertise extends to the impacts of climate change on human health, with focus areas including climate modeling, decadal variability, and the influence of the Antarctic ozone hole on global weather patterns. She actively contributes to the UN Sustainable Development Goals and engages in multiple significant research projects, leading investigations into the impacts of climate variability and climate extremes. Julie has received numerous accolades for her contributions to science, including the prestigious Anton Hales Medal and the Priestley Medal. She continues to inspire new generations of climate scientists through her lectures and mentorship.

Research Interests

Experience

Professor

2016-02-01 — Present

Monash University • Melbourne, Australia

Leading research in climate science, focusing on extremes and variability.

Awards

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Anton Hales Medal

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Priestley Medal

2017-12-01
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Fellow

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.