> Markdown version of [/jobs/ext/3559187-hourly-data-analyst-machine-learning-for-next-generation-wireless-systems-sema](https://www.wearedevelopers.com/jobs/ext/3559187-hourly-data-analyst-machine-learning-for-next-generation-wireless-systems-sema). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Hourly Data Analyst, Machine Learning for Next-Generation Wireless Systems (Sema - **Company:** New Jersey Institute of Technology - **Location:** Newark, NJ, United States - **Salary:** $93,600.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Data Files, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Signal Processing, Pytorch, Multi-Agent Systems, Deep Learning, Wireless Technologies - **Published:** October 2, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88500436/1 ## About the Role * MS or PhD in EE or related field required * Plus Python/PyTorch proficiency * Custom NN development experience * Wireless/info-theory/signal-processing background preferred ## 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