Professor Dr. Anna Chlingaryan

Assistant Professor

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Biography

Anna Chlingaryan is a data scientist focused on machine learning and artificial intelligence, specializing in mathematical modeling and the development of novel algorithmic solutions for real-world applications. She holds a PhD in applied mathematics and has been working at the University of Sydney for the past thirteen years. For ten years, Anna worked in the Faculty of Engineering, contributing to the Rio Tinto Centre for Mine Automation and the Agriculture Group within the Australian Centre for Field Robotics. In 2021, she joined the Faculty of Science, engaging with the Livestock Production Welfare Group and collaborating on multiple projects that enable data-driven techniques for feed optimization and heat-tolerant cattle selection, ultimately aiming to reduce the impact of climate change on livestock production.

Research Interests

Machine Learning Artificial Intelligence Mathematical Modelling Algorithm Development Data-Driven Techniques

Experience

Research Fellow

— Present

Rio Tinto Centre Automation, Australian Centre for Field Robotics • University of Sydney

Contributing to research in mine automation and agricultural robotics.

Requirements for University of Sydney

Doctorate Program

Requirements

GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:17
Reading
Required:17
Writing
Required:19
Speaking
Required:17
Total
Required:85
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:61

Prerequisites

A master's degree with a research component or a bachelor's degree with first or second-class honours. Demonstrated research experience and capability.

Application Checklist

  • Academic transcripts
  • Curriculum Vitae (CV)
  • Research proposal (1000+ words)
  • Two academic referee reports
  • Evidence of residency status
  • Written statement of support from potential supervisor

Specialization Notes

This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.