PhD Scholarhip

Washington State University - Spokane; Occupational Sleep Medicine Group; Leicester; On-site; AUD 36,000 - 42,000; Full time

Job summary

An innovative project seeks talented individuals to develop a smartphone-based digital assistant aimed at improving sleep and physical activity for shiftworkers. This role involves leveraging cutting-edge machine learning and wearable technology to create personalized solutions that enhance workplace productivity and promote health and safety. The project, which spans three years, offers a unique opportunity to contribute to groundbreaking research that directly impacts the well-being of workers in non-standard hours. Join a forward-thinking team dedicated to making a difference in the lives of shiftworkers through technology and innovation.

Qualifications

• Experience with machine learning algorithms and their application in health.
• Understanding of wearable technology and its integration with mobile applications.

Responsibilities

• Develop a digital assistant to improve sleep and activity for shiftworkers.
• Utilize machine learning to enhance workplace productivity and health.

Skills

Machine Learning

Wearable Technology

Data Analysis

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Data Science or related field

Tools

Smartphone Development

Data Visualization Tools

Job description

44 Greenhill Road, Wayville, South Australia, Adelaide, Australia

Project Overview

Improving Shiftworkers Sleep and Physical Activity Using Machine Learning.

Join us in developing a groundbreaking smartphone-based digital assistant to improve sleep and physical activity for Australians working non-standard hours. Harness cutting-edge machine learning and wearable technology to create a personalised solution that directly enhances workplace productivity, health and safety for shiftworkers.

Details

1. Duration: 3 years
2. Scholarship: $36,000 AUD per year, with additional work available (depending on visa type)
3. Start Date: July 2025

Application Process

Submit your EOI: Send a brief CV and 250-word statement to A/Prof Grace Vincent, [e-mail]