Linköping University seeks a PhD student in Wireless Communication and Computer Vision. 

Project description and 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.

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.

You will be based in the Division for Communication Systems (KS) and also work with researchers at the Division for Computer Vision (CVL), both are vibrant research environments within the Department of Electrical Engineering (ISY).

The Division for Communication Systems carries out research, undergraduate and postgraduate education. We conduct research and education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks.
The Division for Computer Vision conducts research and education in machine learning for computer vision at the undergraduate, advanced, and PhD levels. CVL has been identified as an outstanding Swedish research environment within AI in a recent Vinnova report. For further details, see https://liu.se/en/organisation/liu/isy/cvl.

For more information about working at ISY, please visit: https://liu.se/en/article/open-positions-at-isy.

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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