Cardiff Met

The Cardiff School of Technologies at Cardiff Metropolitan University is seeking to appoint a Research Assistant to support an innovative research project focused on intelligent sensing and AI-enabled technologies for improving hygiene practices and food safety monitoring. The project explores the development and testing of sensor-based systems capable of analysing behavioural and environmental data to support safer practices in food preparation and manufacturing environments. Working within a multidisciplinary research team, the postholder will contribute to the design, development, and evaluation of intelligent technology solutions, including embedded systems, sensor networks, and machine vision tools. This is an exciting opportunity to contribute to applied research that integrates artificial intelligence, hardware systems, and behavioural analysis to address real-world public health and food safety challenges. Responsibilities Supporting the development and testing of intelligent sensing systems and experimental prototypes. Assisting with research activities involving embedded devices, sensors, and data acquisition systems. Contributing to the application of artificial intelligence and machine learning techniques for analysing behavioural and environmental data. Supporting experimental trials and system evaluation in laboratory and applied research settings. Assisting with literature reviews, data analysis, and research reporting. Contributing to the dissemination of research findings through reports, publications, and presentations. Qualifications A good honours degree (2:1 or above) in Computer Science, Engineering, or a related discipline. Knowledge of intelligent sensing technologies, embedded systems, or IoT devices. Familiarity with programming and working with modern hardware platforms such as GPU-enabled boards (e.g., NVIDIA Jetson) or similar embedded computing platforms, including integration with sensors or intelligent devices for data acquisition and system testing. An understanding of artificial intelligence, machine learning, or machine vision techniques relevant to sensor-based or camera-based monitoring systems and data analysis. Strong analytical and problem solving skills, with the ability to support experimental research and data interpretation. Excellent communication and organisational skills, with the ability to work both independently and as part of a multidisciplinary research team. Benefits Annual leave of 25 days, rising to 30 days after 1 year's service, plus 12 bank holiday/concessionary days. Membership of the Local Government Pension Scheme with generous monthly contributions. Excellent family friendly policies. Opportunities to learn and develop your skills with access to library and digital services facilities. Excellent sports and fitness facilities with subsidised membership. Free family access to independent specialist well being support provider, Health Assured. Equal Opportunities The University is a Disability Confident employer and a signatory of the Armed Forces Covenant. All applicants with disabilities, or those who are part of the Armed Forces community who meet the essential criteria for the role during the shortlisting process, will be progressed to the next stage. The University is committed to creating a highly inclusive culture and welcomes applications from traditionally under represented groups in higher education.