Dr. Martin Geissdoerfer

Associate Professor

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Biography

A/Prof Martin Geissdoerfer is an internationally recognised authority on circular economy, serving as an Associate Professor at the Monash Sustainable Development Institute, where he leads the Circular Economy Labs. He holds a PhD from the University of Cambridge and has been a visiting scholar at UC Berkeley and Stanford University. Martin is associated with the University of Cambridge’s Circular Economy Centre and has previously worked at McKinsey & Company, advising Fortune 500 companies and governments. His research focuses on the business and policy challenges of scaling circular economy initiatives, with an emphasis on business model innovation and ecosystem design. He is widely cited in the field, with over 1,000 citations for his influential publications, including the most-cited article on circular economy. With a decade of experience, Martin has significantly shaped the field’s development through major Horizon programmes such as ResCoM and INSPIRE. Based in Melbourne, he collaborates with various stakeholders to accelerate circular transitions in the Asia-Pacific region, aiming to help Australia achieve its ambition to double its circular economy by 2035.

Research Interests

Experience

Associate Professor (Research)

2016-01-01 — Present

Monash Sustainable Development Institute • Melbourne

Leading research initiatives on circular economy.

Awards

#

British Academy Management Paper Award

2017-09-07

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.