Understanding pilot skills using naturalistic flying data

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Globally there is a critical shortage of trained pilots. Understanding how pilot skills develop is important for refining training programs to increase their effectiveness and address this gap. This project will use naturalistic data recorded during training flights to map critical stages in pilot training and development. This will help understand what pilots do in real baseline flying scenarios, especially at approach and landing; how behaviours change over time; factors that influence the achievement of key training milestones; and appropriate performance feedback. These data will lead to new methods of learning support, training delivery and performance monitoring of trainee pilots.

The ideal candidate will have a background in either human factors or behavioural sciences, with some experience in manipulating and analysing large data sets.

Supervisory team
Carlo
Caponecchia

Science
Aviation
Boufous
Soufiane

Science
Aviation
Jason
Middleton

Science
Aviation
carloc@unsw.edu.au