Postdoctoral Research Fellow In Quantitative Analysis Of Economic Impacts Of Ultra Processed Foods

The University of Sydney

Camperdown, New South Wales, Australia
Base: $127,436 - $151,328; bonus/equity: not speci...
Onsite
Quantitative research on economic impacts
Large-scale data processing and management
Matlab programming skills
The University of Sydney is seeking a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods for a full-time, 12-month position located at the Camperdown Campus. The role involves conducting quantitative research using large datasets to inform food and health policy, requiring a PhD and strong programming skills

Job Summary

  • Lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy‑relevant insights.
  • Conduct original research independently or as part of a team, focusing on quantitative analysis of economic impacts of ultra processed foods and maintaining a research profile.
  • Contribute to a positive workplace culture in which diversity of thought, contribution, collaboration, excellence and achieving outcomes are valued and enabled.

Matching Summary

Match Score: 85

The University of Sydney is seeking a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods for a full-time, 12-month position located at the Camperdown Campus. The role involves conducting quantitative research using large datasets to inform food and health policy, requiring a PhD and strong programming skills.

Salary

Base: $127,436 - $151,328; Bonus/Equity: Not specified; Benefits: 17% superannuation

Skills & Requirements

Must-have

  • Quantitative research on economic impacts
  • Large-scale data processing and management
  • MATLAB programming skills
  • International macroeconomic and trade data
  • Independent data task execution
  • Supervising and mentoring others

Nice-to-have

  • Economic input-output analysis experience
  • Supply-chain modelling experience
  • Research associated with food
  • Diversity of thought and collaboration

Key Requirements

  • PhD in Economics, Mathematical Sciences, Computer Science, Environmental Science (with a quantitative focus) or related fields
  • Experience with high-dimensional, multi-country or time-series datasets
  • Familiarity with UN Comtrade, UN Official Country National Accounts, or comparable global statistical databases
  • Attention to reproducibility, documentation, and analytical robustness

Work Rights

Not specified

Tailored Resume

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