About Seeing Machines
Seeing Machines works with the world’s leading automotive and aviation manufacturers (OEMs) to deliver state-of the-art driver monitoring technology. In automotive, we enable safer Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) solutions and in aviation, our advanced gaze tracking technology understands how pilots interact and monitor instruments – leading to better training and safer operations.
Understanding human beings is one of the ultimate challenges for effective human machine interaction. The integration of effective driver monitoring systems poses one of the most technically demanding problems for automakers and aviation manufacturers – and we are looking for bright scientific and technical minds to help create those solutions.
The Human Factors group at Seeing Machines collaborates with customers and research partners worldwide to generate new insights that drive our technology development and validation. Our small and dynamic team is fast becoming an authority for regulation and policy in this space – leading the industry with best practice Human Factors research & development.
About The Opportunity
We believe this is a genuine career opportunity whereby using Human Factors science and applied research, you will directly influence product development with our global automotive and aerospace customers – and be part of the Seeing Machines journey as we help shape the future of automotive and aerospace technology.
The Research Scientist, Human Factors will lead the analysis of human factors datasets and associated metrics that can be used to improve the sensing of operator state. Working with a small and dynamic applied research team, you will advise senior business leaders and play a key role in designing and executing research programs that will define and develop our future technology.
Primary responsibilities include supporting the coordination and implementation of the research programs being undertaken with both university partners and automotive, aviation and fleet customers, and running additional data collection and analysis programs internally – using Seeing Machines test vehicles and eventually the simulator laboratory.