Description:

We are seeking a dynamic and innovative HDR student, ideally with a background in physics or computer science, to spearhead our pioneering research project focused on advancing aviation training through the integration of digital twin technology and advanced biometric monitoring, including hand and eye tracking. This role presents an exciting opportunity to explore the development and implementation of cutting-edge hardware and software solutions tailored specifically to the aviation domain. The successful candidate will collaborate closely with industry partners and academic experts to design, prototype, and optimize biometric monitoring systems capable of capturing a comprehensive range of physiological and cognitive data during simulated flight exercises. Key responsibilities include integrating state-of-the-art hand and eye tracking technology with existing flight simulators, developing robust software algorithms for real-time data processing and analysis, and ensuring seamless interaction between hardware components and simulation software. This role offers the chance to contribute significantly to the advancement of aviation training methodologies while gaining valuable expertise in interdisciplinary research at the intersection of technology and education.

Supervisor(s):

Graham Wild

School

School of Science

Research Area

Aviation | Applied & Industrial Mathematics | Behavioural Science | Future Operations