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at scale. ANTENNAE aims to develop and validate a CNS-as-a-Service concept based on modern telecommunications technologies, particularly: 5G New Radio (5G NR) IP-based software-defined networking
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. They will engage in mixed-methods research, co-organise the activities of the project, contribute to the publications ensuing from them, and co-lead with the PI on key work packages of the project. They will
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, building proofs of concept, prototypes, and systems that help SMEs innovate, while capturing the research value of that work in reusable frameworks, methods, and case studies. Salary: Research Assistant
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Department: School of Law & Criminology Vacancy ID: 042723 Closing Date: 05-Aug-2026 We are currently seeking to appoint an excellent candidate with strong knowledge of empirical research methods
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knowledge of research methods and an interest in equality studies. The appointee will contribute to cutting-edge research focused on understanding and addressing barriers to inclusion in higher education
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approval process, and engage in both quantitative and qualitative research activities. This role is well suited to a candidate with knowledge of research methods and an interest in equality studies
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computational workflows that underpin the RENEW project. This is an excellent opportunity for an early-career candidate to gain hands-on experience in data modelling, applied statistics, and research software
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candidate with strong knowledge of empirical research methods and analysis, including for example semi-structured expert interviews and/or focus groups, to join the European Research Council (ERC) funded
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-EFFECT partner network, supporting the evaluation, validation, and interoperability of AI-driven solutions. This role is hands-on and collaborative, requiring strong computational, analytical, and software
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, validation, and interoperability of AI-driven solutions. This role is hands-on and collaborative, requiring strong computational, analytical, and software skills. The Research Assistant will play a key role in