PhD student position in Learning Methods to Enable Dynamic Human-Robot Collaborations.

About the position

Are you a highly motivated researcher that would like to pursue a PhD in the areas of Interpretable Artificial Intelligence (IAI) and Autonomous Decision-Making to study and make significant contributions to the emerging field of Human-Robot Collaboration (HRC)? HRC studies the most effective algorithms to enable robots to work safely and efficiently alongside with humans in shared spaces.

The position is within the Mechatronics and Automation groups at Chalmers University of Technology, where a team of dedicated PhD students, postdocs and senior researchers are actively pursuing research in the areas of semantic-based methods, high-level decision-making systems, Interpretable AI, and Robotics. The Mechatronics group is an integral part of the Department of Electrical Engineering (E2) which primarily focuses on modeling and developing efficient systems for extracting and processing information.

Your primary responsibility as a PhD student will be to pursue independent research and expand your capabilities and knowledge within the research domains covered by the project. You are expected to develop your own original scientific concepts and present the results of your research verbally at academic conferences and in written journal articles. You are also expected to collaborate with other team members and external researchers from academia and industry.

This position is financed by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The PhD student will be part of the graduate school within WASP which is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software.

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