Dr. Tracey Sletten

Build a Statement of Purpose

Generate a tailored SOP for Dr. Tracey Sletten. Improve your application with a focused, well-structured draft.

Biography

Dr. Tracey Sletten completed her PhD at the University of South Australia, examining the effects of shift work and fatigue in aviation and rail. Her research incorporated large-scale investigations into sleep/wake behavior and occupational fatigue among commercial flight crews in Australia. She has held various roles in consulting, training, and analyzing work shifts across transportation sectors globally. Dr. Sletten conducted post-doctoral research at the Centre for Chronobiology at the University of Surrey, focusing on light's effectiveness in improving human circadian rhythms. She has also worked as a Visiting Fellow at the University of Zurich and held a Research Fellow position at Brigham and Women’s Hospital. Her current research focuses on the role of sleep and circadian systems in cognitive performance and mental health, particularly in shift workers. She is actively involved in multiple projects aiming to optimize sleep in various industries.

Research Interests

Experience

Associate Professor (Research)

2008-01-01 — Present

Monash University • Melbourne

Engaged in research focused on sleep, circadian systems, and their effects on health and performance.

Awards

#

Helen Bearpark Scholarship

2012-01-01
#

Australian Research Council Industry Fellowship

2023-01-01
#

European Union Marie Curie Fellowship

2005-01-01

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.