Specialist O-RAN Engineer

Develop advanced AI-driven network management capabilities aligned with 6G vision (automation, intelligence, scalability). Research and develop advanced radio resource management algorithms for 6G cell-free Massive MIMO environments. Ensure research alignment with 3GPP and O-RAN frameworks, actively contributing to standardization activities. Strengthen Vodafone’s innovation impact through IPR generation, papers, and other publications., Lead research and validation of advanced 6G radio technologies for ISAC, NTN, and cell-free Massive MIMO. Design and validate novel algorithms/models for autonomous decision-making in telecom networks (e.g., RAN optimisation, SMO integration). Develop and assess innovative radio resource management and optimization algorithms. Ensure alignment with 3GPP and O-RAN architectures and contribute to standardization. Build software prototypes and simulation tools to support research and trials. Translate research outcomes into impact through IPRs, papers, and publications Maturity and performance impact of developed radio resource management and optimization algorithms. Effective contribution to 3GPP and O-RAN standardization, including accepted inputs and technical influence. Quality and reuse of software prototypes and simulation tools supporting research and trials.

Advanced expertise in 6G radio technologies, including ISAC, NTN, and cell-free Massive MIMO. Strong capability in radio resource management design, analysis, and optimization. Solid understanding of 3GPP and O-RAN architectures, processes, and standardization workflows. Proficiency in software development and simulation (Python) for radio research and validation. Ability to translate research into standards contributions, IPRs, and high-impact publications, Master’s degree in Telecommunications Engineering, Computer Science, or a related field. Strong technical knowledge of RAN Physical Layer concepts, architectures, and protocols. Solid understanding of 3GPP and O-RAN frameworks and standardization processes. Proficiency in Python or equivalent languages for radio modeling, simulation, and automation. Knowledge of AI/ML and data-driven techniques applied to radio systems is a plus

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