Research Supervisor Connect

Archaic and Classical Greece

Summary

Sydney born and bred, Dr Brown studied Ancient History at Macquarie University and Classical Greek at University of Sydney; he taught at Macquarie University, University of New South Wales and ACU before rejoining Classics at University of Sydney.

Supervisor

Dr Benjamin Brown.

Research location

Classics and Ancient History, School of Humanities (SOH)

Synopsis

Dr Brown's main research areas include the interpretation and contexts of Archaic Greek poetry, especially Homeric epic; the beginnings of Greek historiography and philosophy; Greece and Rome from the perspectives of comparative Indo-European language and culture; the socio-economic history of Archaic and Classical Greece, especially Archaic tyranny; Marxist, Critical Theory and sociological approaches to the Ancient World; “Big History”, with a focus on the ‘transition from Antiquity to Feudalism, 300-800 AD’.

Ben has supervised many Honours and Masters theses, with a special interest in those on Greek culture and history, and/or theses with a theoretical focus.

Additional information

1. If you are interested in this research opportunity, you are encouraged to email the academic directly.  To find the academic’s email address, follow the link provided to their profile page.  Introduce yourself and provide some academic background. You may be asked for an academic transcript. Explain why you are interested in your area of research and, if appropriate, why you are interested in working with the recipient.

2. Write an initial research proposal.  (Refer to How to write a research proposal for guidance.)  In no more than 2000 words demonstrate how your research experience aligns with the supervisor’s and why you’re interested in this opportunity.

3. If you would like general advice in your subject area before submitting an application, contact an academic advisor listed here: https://www.sydney.edu.au/arts/study/postgraduate-research/postgraduate-research-contact.html

 

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Opportunity ID

The opportunity ID for this research opportunity is 3123