ML Data Analyst for 6G Wireless — Semantic AI & SEI

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

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