Publisher
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Petar Popovski

3 months ago

Postdoc in Embodied AI and Robotic Perception with Wireless Communication and Sensing Aalborg University in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

The postdoc is funded by the Villum Investigator Grant WATER. The position is full-time for 12 months and includes full employment benefits under Danish university employment terms.

Deadline

Expired

Country flag

Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Information Technology
Mathematics
Wireless Communication
Computer Vision
Sensor Technology
Reinforcement Learning
Robotics
Robot Perception and Sensors

About this position

Aalborg University is recruiting a Postdoc in Embodied AI and Robotic Perception with Wireless Communication and Sensing in the Department of Electronic Systems. The position sits in the Connectivity Section and is linked to research led by Professor Petar Popovski, Director of CLASSIQUE. The project is centered on embodied AI, robotic perception, machine learning, computer vision, wireless communication, and sensing, with a strong emphasis on multimodal learning and real-time intelligence.

The research theme explores how wireless-enabled physical AI systems such as robots, autonomous vehicles, drones, and distributed sensor platforms build representations of space, motion, and context through continuous interaction with the environment. The postdoc will work on fusing heterogeneous sensory streams including vision, LiDAR, inertial measurements, and radio signals, and on learning and decision-making architectures for robust perception and autonomous action in dynamic settings. The role also includes investigating how wireless networks such as 6G, WiFi, and satellite systems support distributed AI inference and how network constraints shape resilient intelligence.

Applicants should have a PhD in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or a related area. Strong experience in machine learning, artificial intelligence, robotics, robotic perception, multimodal AI, or reinforcement learning is expected, along with solid mathematical and analytical skills and programming ability in Python, PyTorch, TensorFlow, or similar tools. A publication record in major venues such as ICLR, ICRA, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, or ICCV is highlighted as desirable.

The position is funded by the Villum Investigator Grant WATER and is offered as a full-time postdoc for 12 months. The appointment starts around 1 October 2026 or as soon as possible thereafter. The application deadline is 16 August 2026.

To apply, candidates must submit their application through Aalborg University’s recruitment system and include a motivation letter, CV, diplomas, publication list, and other supporting documents. The post is hosted by a dynamic international research environment in Aalborg, Denmark, with strong links to communication theory, networking, information theory, statistics, and quantum communication.

Funding details

The postdoc is funded by the Villum Investigator Grant WATER. The position is full-time for 12 months and includes full employment benefits under Danish university employment terms.

What's required

Applicants must hold a PhD degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or a similar field. The post requires a proven track record in machine learning, artificial intelligence, or robotics, ideally with contributions to major conferences such as ICLR, ICRA, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, or ICCV. Candidates should have strong mathematical and analytical skills, knowledge of statistical machine learning, robotic perception, and multimodal AI algorithms, proven experience with reinforcement learning algorithms and implementations, and programming experience in Python, PyTorch, TensorFlow, or similar. Curiosity and willingness to work with a heterogeneous research group are also expected.

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Professors

Professor

University Name
Country flag

Denmark

Research Interests

Internet Of Things

Statistics

Wireless Communication

Wireless Sensor Network

Mathematics