Spectrum Access Research Fellow: AI/ML & Digital Twin

University of Bristol; Clifton; On-site; GBP 42,000 - 54,000; Full time

Job summary

University of Bristol invites applications for two Research Associate/Senior Research Associate/Research Fellow roles to advance spectrum access innovations within the JOINER National Spectrum Facility framework. The positions focus on automated spectrum sharing, digital twin concepts, and interdisciplinary collaboration with engineering and policy partners.

The roles require PhD or substantial equivalent research experience, strong RF/SDR knowledge, and proficient Python/C++ data analysis.

Qualifications

• PhD or equivalent research experience in a relevant area, or for Grade K, a relevant postgraduate degree with substantial research experience.
• Knowledge of spectrum assignment and allocation, spectrum policy and regulatory frameworks.
• Experience with RF systems, wireless technologies and software-defined radio, ideally including USRP/GNU Radio.
• Strong programming and data analysis skills, particularly with Python, C++ or similar, and experience working with large datasets.
• Experience or a strong understanding of AI/ML, particularly its application to spectrum management or time-series data.
• Ability to conduct research, analyse results and communicate findings through technical reports, scientific papers or presentations.
• Ability to work collaboratively across disciplines, learn quickly, take initiative and manage competing priorities and deadlines.
• For Grade J/K, you should also be able to demonstrate increasing research independence, publication experience and leadership appropriate to the level.

Responsibilities

• Conduct research into spectrum access, sharing and assignment, with a focus on automated and intelligent approaches.
• Collect and analyse spectrum data using JOINER’s national monitoring infrastructure, identifying patterns and developing datasets and tools to understand spectrum use.
• Develop and test spectrum-sharing techniques using software-defined radio and wireless system emulation across technologies including 5G/6G, Wi-Fi and satellite.
• Apply AI/ML and data-driven approaches to spectrum management and contribute to the development of a national spectrum digital twin.
• Contribute to the development and support of the JOINER National Spectrum Facility, working with researchers and external partners.

Skills

Python

C++

RF systems

Software-defined radio

AI/ML

Data analysis

Research communication

Education

PhD in a relevant field

Tools

USRP

GNU Radio

Job description

University of Bristol invites applications for two Research Associate/Senior Research Associate/Research Fellow roles to advance spectrum access innovations within the JOINER National Spectrum Facility framework. The positions focus on automated spectrum sharing, digital twin concepts, and interdisciplinary collaboration with engineering and policy partners.

The roles require PhD or substantial equivalent research experience, strong RF/SDR knowledge, and proficient Python/C++ data analysis.