Dr. Robin Gerster

Professor

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Biography

Robin Gerster's primary research interests encompass representations of war and conflict in literature, as well as cultural and travel narratives. His scholarly work highlights the intricate relationships between Australian literature and Asian cultures, with a special focus on Japan. Gerster has published extensively, with notable works including 'Big-Noting: Heroic Theme in Australian War Writing', which won the Age Book of the Year, and 'Travels Atomic Sunshine: Australia Occupation Japan', which earned the NSW Premier's Prize for Australian History. His research, largely conducted at the Australian War Memorial during his PhD, has established him as an authority on Australian military travel narratives. He has also examined the socio-political history of Australia in the 1960s and critiqued Australian responses to Asia through influential anthologies. As a former Chair of Australian Studies at the University of Tokyo, Gerster co-edited 'War Path: Anthology of Australian Military Travel', alongside contributions to several critical essays on Australia's involvement in foreign military occupations. His expertise aligns with the UN Sustainable Development Goals, particularly in literature addressing war, travel, and nuclear cultures. Gerster's contributions play a vital role in understanding Australia's historical and cultural landscapes.

Research Interests

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.