PhD student position in Computer Science at the Centre for Applied Autonomous Sensor Systems, Örebro University.

Project Description

The focus of the project is machine learning and artificial intelligence for computer vision and robotic perception.

The project looks at how investigates how robots and autonomous systems can learn adaptively to successfully operate in changing environments. Real-world environments are constantly changing, and for a robot or autonomous system to operate successfully without human intervention or catastrophic failure, it must have both the capacity to recognise change and the flexibility to adapt its beliefs and behaviours. Furthermore, autonomous systems must have the ability to explain and justify their decisions and actions. The goal of this project is to develop robust systems by which an autonomous intelligent system can evaluate both its own models of the world, and the current environmental conditions, to provide confident and explainable predictive models.

More information and application

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