Can Artificial Intelligence improve training of Unmanned Aerial Systems operators?

Description:

This PhD project is a unique opportunity to work with state-of-the-art resources to produce important research with real-world impact in the Defence industry and beyond. 

This project aims to understand whether artificial intelligence could assist in more effective training of operators of unmanned aerial systems. Specifically, it is aimed to understand how situational awareness is affected by different levels of cognitive load, with the focus on high demand tasks, such as the operation of sensors in unmanned aerial vehicles (UAV’s). 

The proposed study will employ valid and objective data from simulation and biometrics such as gaze tracking, heart rate variability and galvanic skin response to develop new interpretative algorithms to inform training task instructors on the trainee cognitive load in performing operational tasks. The research will further develop and investigate the efficacy of the cognitive load assessment algorithm followed by the developed similar algorithms for flight based tasks. The research tool will be a UAV flight and sensor simulator, equipped with biometric sensors, with a suite of training scenarios available for task evaluation.  

This is a unique opportunity for you to use sophisticated research tools and work under a world-class supervisory team that will give you a competitive edge in the job market.   

Desired background

Masters in Data Science, Computer Science, Aviation, Human Factors and related disciplines.