PhD student in Wireless Communications and Computer Vision - Linköping University

Your work assignments

Point clouds (PCs) are sets of three-dimensional (3D) data points and their attributes that collectively represent an object or a scene. This data structure plays a crucial role in distributed autonomous systems, enabling applications such as augmented reality, autonomous vehicles, and environmental monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D-coordinate system. Current approaches treat PC transmission and registration as separate modules, leading to inefficiencies in handling latency and registration accuracy. This project takes a joint design approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP).

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

The funder, Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. Read more here: https://wasp-sweden.org/.

You will become a member of the WASP graduate school, which provides an extensive set of courses and a network with partner universities, and AI companies all across Sweden. You will also be invited to participate in annually arranged international visits. Read more: https://wasp-sweden.org/graduate-school/.

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