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

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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
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