Research Assistant

City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution. The combined university is now one of the largest higher education destinations for London students, combining a breadth of disciplines across health, business, policy, law, creativity, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal ambitions.

Our research is engaged, at the frontier of practice and has a positive impact on the world around us.

Background

The Research Assistant will contribute to a cutting-edge research project focused on enhancing the security and reliability of 5G/6G mobile networks. This position is part of an exciting initiative funded by the University Research Pump Priming Scheme, in collaboration with the Cyber Security group. The project aims to develop an innovative detection system for rogue agents in 5G/6G networks. This involves employing advanced machine learning models and formal verification techniques to improve handover protocols. The research outcomes will contribute to real-world applications with scalability and accuracy, ensuring safer and more reliable mobile communications.

Responsibilities

Design and implement machine learning-based detection algorithms in a simulated 5G/6G environment.

Develop formal verification methods for validating system accuracy and robustness.

Conduct data collection and analysis to refine detection mechanisms.

Collaborate with academic and industry partners to evaluate and validate the system.

Prepare research outputs for high-impact journal publications and conferences.

Person Specification

The ideal candidate will hold a postgraduate degree in Computer Science, Telecommunications, or a related field, with demonstrated expertise in 5G/6G emulation platforms. They will possess proficiency in machine learning techniques, formal verification methodologies, and strong programming skills in languages such as Python or MATLAB, alongside familiarity with network simulation tools. The candidate must exhibit proven collaborative abilities within research environments and have contributed to academic publications. Additionally, a PhD in a relevant field, whether completed or near completion, is desirable, as is knowledge of anomaly detection, cybersecurity in mobile networks, and familiarity with AI/ML frameworks and neural network architectures.

Additional Information

Closing date: 23 March 2025 at 11:59 pm.

Interviews are scheduled to take place in w/c 31 March 2025.

The selection process will involve an interview and a presentation. Further details will be confirmed at the interview stage.

City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.

City St George’s operates a guaranteed interview scheme for disabled applicants.

The University of business, practice and the professions.

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