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We are looking for a PhD student in Wireless Communications and Computer Vision
Are you passionate about wireless communications, AI, and 3D vision? Want to explore how point clouds can shape the future of autonomous systems? We have a PhD position for you!
The official advertisement and link to apply are in the LiUs application system, but let's have a more intimate talk about the project.
What is this PhD project about?
Real-time distributed autonomous systems rely on remote sensors to capture data from the physical world and share it with central/edge processors to enable downstream tasks. Point cloud--a 3D representation of objects and scenes-- is an important sensor modality, increasingly used in diverse applications, such as environmental monitoring, autonomous vehicles, and augmented reality (AR).
Let us look at an example of AR--see the figure below. An AR headset records a point cloud of its surroundings and transmits the point cloud via a wireless channel to an edge server, where the point cloud is registered, i.e., put in alignment with a reference 3D model. Point cloud transmision is a task of wireless communication, aiming to faithfully reconstruct the point cloud at the edge server. Registration is a computer vision task, aiming to minimize the alignment error.
In this project, instead of treating transmission and registration separately, we aim to design an integrated approach where machine learning helps optimize both steps. This will pave the way for real-time, high-accuracy 3D perception over the air.
What is your job?
You will conduct cutting-edge research at the intersection of wireless communication, AI, and computer vision. You will develop new algorithms for efficient point-cloud transmission and remote registration. You will work in a collaborative environment with experts in communications, signal processing, and computer vision.
Why join us?
- Be part of WASP, Sweden’s largest AI and autonomous systems research program.
- Join the Division for Communication Systems (KS) at Linköping University, a leading research environment in wireless and statistical signal processing.
- Work with top researchers in AI-driven computer vision from the Division for Computer Vision (CVL).
- Enjoy a vibrant academic and social life in Linköping, Sweden!
Who are we?
You will be co-supervised by:
- Khac-Hoang Ngo, an assistant professor in wireless communications, with expertise in massive random access and non-coherent MIMO wireless communication.
- Per-Erik Forssén, a senior associate professor in computer vision, with expertise in 3D perception, machine learning and point cloud analysis.
Who should apply?
We are looking for motivated candidates with a background in:
- Wireless communications, signal processing, computer vision, or applied mathematics.
- Strong programming skills (Python, MATLAB, or similar).
- Passion for AI-driven wireless systems and 3D perception.
See the formal requirements in the official advertisement.
Application deadline: May 23, 2025
Interested? Have questions? Feel free to reach out—we’d love to chat!
Note: You cannot not apply over email! We can only consider applications made through the above link.