Are you a current NJIT employee? Apply here through the Internal Jobs Hub. Title: Hourly Data Analyst, Machine Learning for Next-Generation Wireless Systems (Semantic Communications & RF Emitter Identification) Reports To: Chair Position Summary: Support two concurrent efforts — (1) semantic feature compression/multimodal fusion for cooperative perception in multi-agent physical AI over 6G, and (2) deep-learning-based SEI for 5G with open-set detection and lightweight edge deployment. Essential Functions: Neural architecture development (CNNs, autoencoders, embeddings) Info-theoretic coding for multimodal feature sharing (camera + ISAC radar) Dataset sourcing/simulation, training/fine-tuning management, open-set/OOD evaluation t-SNE-style embedding analysis CPU/edge optimization and GPU-vs-CPU benchmarking Numerical/visual reporting Pre-Requisite Qualifications: MS or PhD in EE or related field required Plus Python/PyTorch proficiency Custom NN development experience Wireless/info-theory/signal-processing background preferred Compensation: $45.00 per hour At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position. Range: Hourly Employees NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, or other items. FLSA: Non-Exempt Time Type: Part time Pay Rate: Hourly Additional Information: As an EEO employer NJIT is committed to building a diverse and inclusive teaching, research, and working environment and strongly encourages applications from individuals with disabilities, minorities, veterans, and women. Employment at NJIT is subject to the provisions of New Jersey First Act which mandates new employees, who are not NJ residents, to establish primary residence in New Jersey within one year of their appointment to certain positions. The law does not apply to any individual employed at NJIT on a temporary or per semester basis as a visiting or adjunct professor, teacher, lecturer, researcher or administrator. For more information on the act please click here. If special accommodations are needed in applying for a position, please visit the Department of Human Resources located in Fenster Hall, 5th Floor, University Heights, Newark, NJ 07102 or call (973) 596-3140. If you have questions, please email the Human Resources Department at hr@njit.edu. Information regarding NJIT campus security, personal safety, and fire safety including topics such as, disciplinary procedures, crime prevention, NJIT Police law enforcement authority, crime reporting policies, and crime statistics for the most recent three year period is available on the NJIT Department of Public Safety here. NJIT is an E-Verify employer and uses E-Verify to confirm work authorization of each new hire. When you work at New Jersey Institute of Technology (NJIT), you become part of a dynamic and innovative community dedicated to advancing education, research, and technological excellence. Recognized as New Jersey’s premier public polytechnic university, NJIT serves a diverse population of over 12,000 students across six colleges and schools, offering a forward-thinking academic environment in the heart of Newark, just minutes from New York City. At NJIT, we are committed to fostering a workplace culture rooted in inclusion, collaboration, and excellence. Employees are empowered to grow professionally, contribute to meaningful work, and support a mission that shapes the future of technology, education, and research. Learn more about what we offer here!

Hourly Data Analyst, Machine Learning for Next-Generation Wireless Systems (Semantic Communications & RF Emitter Identification).

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