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Hong Chen

Assistant Professor, Cisco Research Chair in IoT

University of New Brunswick

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Canada

Has open position

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Research Interests

Internet Of Things

10%

Electrical Engineering

20%

Large Language Models

20%

Computer Science

20%

Wireless Communication

20%

Machine Learning

20%

Positions2

Publisher
source

Imran Sarwar

University Name
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University of New Brunswick

PhD and Postdoc Positions in AI-Enabled Wireless Communication Networks and IoT Systems in Canada

PhD and Postdoc positions are available at the University of New Brunswick, Canada, under the supervision of Dr. Hong Chen, Assistant Professor and Cisco Research Chair in IoT. The research group focuses on AI-enabled wireless communication networks, exploring the intersection of machine learning and wireless networks. Key research topics include Semantic Communication, Digital Twin, Edge Intelligence, Generative AI and Large Language Models, LEO Satellite Networks, and Intelligent IoT Systems. The group collaborates with industry leaders such as Cisco Canada and Bell NB, and maintains academic connections with the University of Alberta, McMaster University, and Western University. Applicants should have a strong background in Electrical and Computer Engineering, Computer Science, or related fields, with a minimum undergraduate GPA of 3.3. PhD candidates must hold a Master's degree with an excellent academic record; prior publications are preferred. English language proficiency is required, with details available on the department website. The positions offer full financial support, effective supervision, teaching and guest-lecturing opportunities, academic exchanges, and industry internships. The University of New Brunswick also welcomes visiting scholars and students sponsored by their home institutions. To apply, candidates should email their CV, transcripts, and TOEFL/IELTS score report to Dr. Hong Chen at [email protected], using the subject line: '[PostDoc/PhD] Application – [Your Name] – [Intended Start Term/Year]'. Only selected qualified candidates will be contacted for further steps. For more information on program requirements, visit the department website.

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Publisher
source

Hong Chen

University Name
.

University of New Brunswick

Postdoctoral and PhD Positions in AI-Enabled Wireless Communication Networks and IoT at University of New Brunswick

Dr. Hong Chen, Assistant Professor and Cisco Research Chair in IoT at the University of New Brunswick, is recruiting Postdoctoral and PhD candidates for Summer (May) and Fall (September) 2026. The research group focuses on cutting-edge topics in AI-enabled wireless communication networks, exploring the interplay between machine learning and wireless networks. Key research areas include semantic communication, digital twin, edge intelligence, generative AI and large language models (LLM), and intelligent IoT systems. Applicants should have a strong background in Electrical and Computer Engineering, Computer Science, or related fields, with a minimum undergraduate GPA of 3.3. PhD applicants must hold a Master's degree with an excellent academic record; prior publications are preferred. English language proficiency is required, and details can be found on the department website. The group values highly self-motivated students interested in high-impact research at the intersection of academia and industry. Admitted Postdoc and PhD candidates will receive full financial support, timely and effective supervision, and opportunities for teaching assistantships, guest lecturing, academic exchanges, and industry internships. The group collaborates with leading institutions such as the University of Alberta, McMaster University, and Western University, as well as industry partners like Cisco Canada and Bell NB. Visiting scholars and students sponsored by their home institutions are also welcome to apply. To apply, candidates should email Dr. Hong Chen with a CV, transcripts, and TOEFL/IELTS score report, using the specified subject line. Only selected qualified candidates will be contacted for further steps. For more information on program requirements, visit the department's graduate studies page.

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