Doctoral and Postdoctoral Positions in NextG AI-enabled Wireless XR Network Systems and Societal Applications

University:

New Jersey Institute of Technology (NJIT)

Country:

United States

Deadline:

Not specified

Fields:

Electrical and Computer Engineering, Computer Science, Machine Learning, Applied Mathematics, Human-Computer InteractionThe College of Computing at the New Jersey Institute of Technology (NJIT) is pleased to announce the availability of one doctoral student position and one prospective postdoctoral position for Fall 2025 in the Laboratory for NextG AI-enabled Wireless XR Network Systems and Societal Applications. These positions offer an opportunity to engage in innovative research at the intersection of mobile extended reality systems, physics-aware machine learning communications and signal processing, wireless multi-RAT communications, 5G edge computing networks, and novel 3D signal representations. Research topics also include emerging digital twin, spatial computing, and metaverse applications.

Requirements

For Doctoral Applicants:– Background in Electrical and Computer Engineering, Computer Science, Machine Learning, Applied Mathematics, or Human-Computer Interaction– Submission of CV, course transcripts, statement of interest, and contact details for at least three references

For Postdoctoral Applicants

– PhD in one of the relevant fields listed above– Submission of CV, lead-author publications, statement of interest, and contact details for at least three references– Demonstrated ability to conduct independent, cutting-edge research in one or more of the specified topics– Strong analytical and implementation skills– Excellent teamwork and communication abilities– Proven publication record in top-tier conferences or journals

Application Information

Interested candidates are invited to submit the required documents via email to Dr. Chakareski at jacobcha@njit.edu. Applicants are encouraged to consult the laboratory’s Google Scholar page for a comprehensive list of relevant publications.This position is advertised on LinkedIn by Professor Chakareski.We’re an independent team helping students find opportunities.Found this opportunity helpful? Support us with a coffee!