AI & Cyber Security Research Associate (Student) - Part-Time

Manchester Metropolitan University; Dalton; On-site; GBP 17,000 - 19,000; Part time

Job summary

Manchester Metropolitan University is seeking a student researcher to assist the DREVA team on a project applying AI to cyber security and data verification for urban transport. The role involves data collection, developing AI-based solutions, and contributing to disseminating findings.

The position is based in the Dalton Building, at 15 hours per week, with dates from 1 October 2025 to 31 March 2026. The successful candidate will work with a collaborative research team and support training for

Qualifications

• Current Manchester Met student pursuing/postgraduate in Cyber Security, AI, CS or related subject.
• Knowledge of cyber security, AI, or cyber-physical systems.
• Experience with research, data collection, analysis, and report writing.
• Proficiency in Python and AI/ML or cloud-based tools.

Responsibilities

• Support research into AI-driven cyber security and trustworthy data verification in urban transport contexts.
• Assist with threat modelling, risk assessment, and analysis of transport data.
• Develop and test computer vision and trust-scoring models using geospatial and traffic-camera data.
• Conduct research using cloud computing platforms and specialist software tools.
• Analyse findings and prepare reports, presentations, and publications.
• Present research outcomes at meetings, seminars, and conferences.
• Collaborate with academic staff, external partners, and project stakeholders.
• Support postgraduate and undergraduate students through demonstrations and training.

Skills

Python

Artificial intelligence

Cyber security

Data analysis

Research

Education

Postgraduate qualification in Cyber Security / AI / Computer Science

Tools

Geospatial tools

Cloud platforms

Databases

Job description

Manchester Metropolitan University is seeking a student researcher to assist the DREVA team on a project applying AI to cyber security and data verification for urban transport. The role involves data collection, developing AI-based solutions, and contributing to disseminating findings.

The position is based in the Dalton Building, at 15 hours per week, with dates from 1 October 2025 to 31 March 2026. The successful candidate will work with a collaborative research team and support training for