RAN Mobility & AI Research Engineer

Research and develop AI-driven mobility management solutions for RAN optimization (handover, load balancing, network slicing).

Design and implement Generative AI models (e.g., LLMs, GANs) to simulate/predict network behavior and automate decision-making.

Analyze large-scale network data using Python (Pandas, NumPy, PyTorch) and SQL to derive actionable insights.

Collaborate with cross-functional teams to integrate AI solutions into production networks.

Publish research findings in top-tier conferences/journals and contribute to patents.

Optimize RAN performance metrics (latency, throughput, QoS) through AI/ML techniques.

Required Qualifications:

PhD or MSc in Electrical Engineering, Computer Science, Telecommunications, or related field.

RAN mobility management (5G/6G handover, beamforming, UE tracking).

Generative AI (LLMs, diffusion models, or reinforcement learning for networks).

Programming: Advanced Python (ML frameworks, data analysis) and SQL (query optimization).

Familiarity with telecom protocols (3GPP standards, O-RAN, SDN/NFV).

Strong publication record or patents in AI/wireless networks (preferred).

Nice-to-Have Skills:

Experience with cloud platforms (AWS, GCP) for AI model deployment.

Knowledge of RAN intelligent controllers (RIC) and xApps/rApps.

Certifications in AI/ML (e.g., TensorFlow, PyTorch) or telecom (e.g., 5G NR).