WASP-funded postdoc position in Computer Science at Örebro University.
Background
The post-doc will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS, http://www.oru.se/aass), which carries out multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, and computer science.
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. The goal of this project is to develop robust systems by which a robot can evaluate both its own models of the world, and the current environmental conditions, to provide confident predictive models.