Concordia University

http://www.concordia.ca/content/concordia/en/sgs/postdoctoral-fellows/funding/horizon/descriptions/6005.html

Fellowship Description

Research program title

Formulate pilot knowledge using MBSE methodology to improve the efficiency of pilot training and aircraft product designing

Reference number

6005

Supervisor

Program description

The objective of this proposed project is to improve pilot training efficiency by integrating Model-based Systems Engineering and ontology in formulating pilot knowledge. The deliverable from this proposed project will be a set of SysML models and ontology models that describe the pilot knowledge inferring from biometric measurements and the relationships between pilot knowledge and design characteristics/features. These models will then be used to improve pilot training or make aerospace design more successful. As a result, a novel framework will be developed to bring advanced biometric measurement technologies and knowledge formulation method from the laboratory setting into the simulator-based pilot training environment. This framework can be easily extended to other complex yet critical field applications such as medical and military mission training.

Academic qualifications required

  • PDF in computer science or neuro-cognitive science; preference will be given to those who have worked in EEG based cognitive research
  • Experience in education and learning science
  • Excellent technical writing skills   
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