Senior Standards researcher

Nokia Oyj; Espoo; On-site; EUR 90,000 - 130,000; Full time

Job summary

Nokia is seeking a highly engaged Radio Research Specialist to drive 6G research and standards development within the Physical Layer Standardization & Research team. You will lead end-to-end radio studies, formulate innovative 6G IP, and shape long-term roadmaps across MIMO, AI radio, and coexistence frameworks.

The role requires a strong background in 5G/6G, advanced degrees in related fields, and the ability to collaborate with RF, protocol, and regulatory teams to deliver product-relevant

Qualifications

• Master's or PhD in electrical engineering, communications, signal processing, or related field.
• Strong system-level expertise in 5G and/or emerging 6G systems.
• Deep understanding of radio access systems and related challenges.
• Familiarity with AI-driven research methodologies and data-driven workflows.

Responsibilities

• Lead end-to-end 6G radio research, covering MIMO, initial access, RF performance, AI-native PHY, and L1 control.
• Develop 6G IP including MIMO, initial access, RF performance, and AI PHY techniques.
• Embed AI-first principles into 6G standards research and define evaluation methodologies.
• Represent Nokia in 3GPP and external forums, advocating next-gen PHY/L1 architectures.
• Shape Nokia's 6G tech strategy and roadmaps across MIMO, AI radio, and coexistence.
• Collaborate with RAN Protocols, RF, regulatory, and system teams to translate concepts to product tech.

Skills

System-level expertise

5G/6G knowledge

AI-driven research

Radio access systems

Radio product portfolios

Education

Master's or PhD in Electrical Engineering/Communications/Signal Processing

Job description

Research & Innovation is seeking ambitious and highly engaged physical layer Radio Research Specialists to join our Physical Layer Standardization & Research team in Dallas. In this role, you will drive 6G research and standardization, lead innovation for 6G radio interface and access technologies, and help shape the future of mobile communications—ensuring Nokia's continued leadership in wireless research.

Your responsibilities

• Lead end-to-end 6G radio research, integrating MIMO, initial access, RF performance, AI-native PHY design, advanced Layer-1 control, and coexistence considerations to enable scalable, intelligent, and regulation-compliant 6G systems.
• Develop pioneering 6G intellectual property, including MIMO, initial access, RF performance, AI-native PHY techniques, and advanced L1 control signalling.
• Embed AI-first principles into 6G standards research, defining robust evaluation methodologies for AI-enabled PHY validation aligned with regulatory and compliance requirements.
• Represent and champion Nokia's technical leadership in 3GPP and external research forums, advocating next-generation PHY/L1 architectures.
• Shape Nokia's 6G technology and standards strategy, contributing to long-term research roadmaps across MIMO, initial access, RF performance, AI radio, coexistence frameworks, and PHY/L1 control, aligned with business and ecosystem priorities.
• Collaborate closely with RAN Protocols, RF, regulatory, and system teams to ensure coherent evolution from research concepts to product-relevant technologies.

Your skills and experience

• Strong system-level expertise in 5G and/or emerging 6G systems.
• Master's degree or Ph.D. in electrical engineering, communications, signal processing, or a related field.
• Deep understanding of radio access systems and associated technology challenges.
• Solid grasp of radio product portfolios and wireless business strategy.
• Familiarity with AI-driven research methodologies, including data-driven and agentic workflows.

Strong system-level expertise in 5G and/or emerging 6G systems, Master's degree or Ph.D. in electrical engineering, communications, signal processing, or a related field, Deep understanding of radio access systems and associated technology challenges, Solid grasp of radio product portfolios and wireless business strategy, Familiarity with AI-driven research methodologies, including data-driven and agentic workflows.