Hourly Data Analyst, Machine Learning for Next-Generation Wireless Systems (Sema

New Jersey Institute of Technology
Newark, NJ, United States
15 days ago
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Role details

Contract type
Contract
Employment type
Part-time (≀ 32 hours)
Compensation
$93,600.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Files Python (Programming Language) Machine Learning Object-Oriented Software Development Signal Processing Pytorch Multi-Agent Systems Deep Learning Wireless Technologies

Job description

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

Requirements

  • MS or PhD in EE or related field required
  • Plus Python/PyTorch proficiency
  • Custom NN development experience
  • Wireless/info-theory/signal-processing background preferred

Benefits & conditions

  • $45.00 per hour

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