Postdoc in Integration of Physical AI with Wireless Communication and Sensing

Your work tasks

The appointed researcher will investigate how AI embedded in physical entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models for physical AI systems that learn and adapt through continuous exposure to multimodal sensory and radio data, and acts upon real-world environment through distributed coordination and control. Emphasis will be placed on how real-world communication constraints influence learning and perception, particularly in wireless and networked settings.

Specifically, the research will explore how 6G wireless networks, ubiquitous WiFi, and satellite channels can support robust perception and inference for distributed AI systems, and how delays, interference, and signal imperfections affect cognitive performance. The candidate will design models and algorithms for learning and decision-making under uncertainty, optimized for real-time operation on heterogeneous physical devices. Finally, the position will address how communication and computation co-design enables scalable interaction among networked AIs, paving the way toward embodied intelligence in large-scale physical systems.

Your competencies  

• Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar.
• Proven track record in the Machine Learning and Artificial Intelligence.
• Solid mathematical and analytical skills.
• Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms.
• Experience in programming, e.g., in Python, PyTorch, TensorFlow, or similar.
• Curiosity to work with researchers from a heterogeneous group, with core expertise in communication theory, networking, information theory, statistics, and quantum communication.

Qualification requirements

Who we are    

1. quantum communications;
2. low-latency and time-constrained communication;
3. satellite and non-terrestrial networking;
4. interplay between AI/ML learning/inference and communications;
5. communication and sensing;
6. experimental works on open-radio access network (O-RAN).

The group features a dynamic and international working atmosphere and is located in Aalborg, a city in the northern part of Denmark that tops quality-of-life charts. The successful candidate will enjoy a world-class research environment, excellent working and networking conditions, and full employment benefits accompanied by a competitive salary.

Qualification requirements 

• Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position 
• Curriculum Vitae (CV) 
• Diplomas (master’s degree diploma and PhD diploma) 
• List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of five publications. 
• Documentation of teaching qualifications if relevant. Please see guidelines for teaching portfolio at The Technical Faculty of IT and Design.
• Dissemination qualifications, including participation on committees or boards, participation in organisations etc. 
• Additional qualifications in relation to the position 
• References/recommendations 

You can read more about the requirements for your application here.    

The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University’s website.  

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position. 

Do you have any questions? 

The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.  

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace. 

Salary and terms of employment  

Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish). 

Aalborg University

Denne stilling er publiceret af Aalborg Universitet via jobnet.dk