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

C001 New Jersey Institute of Technology; Newark (NJ); On-site; USD 51,000 - 73,000; Part time

Job summary

New Jersey Institute of Technology seeks an Hourly Data Analyst for Machine Learning in wireless systems. You will support two concurrent efforts: semantic feature compression and multimodal fusion for cooperative perception, and deep-learning-based SEI for 5G with open-set detection and edge deployment.

The role emphasizes neural architecture development (CNNs, autoencoders, embeddings), info-theoretic coding for multimodal sharing (camera + ISAC radar), dataset sourcing and training

Qualifications

• MS or PhD in EE or a related field is required.
• Proficiency with Python and PyTorch is required.
• Experience with custom neural network development and signals/wireless topics preferred.

Responsibilities

• 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
• CPU/edge optimization and GPU-vs-CPU benchmarking
• Numerical/visual reporting

Skills

Python

PyTorch

Neural network development

Education

MS or PhD in EE or related field

Job description

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

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.

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 [phone].

If you have questions, please email the Human Resources Department at [e-mail].

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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.