Do not apply for this role via the SEA website. You must apply via the Careers Service Website to be considered*
We are particularly seeking a student with a background in IT, Computer Science, or Supply Chain Management, or someone with strong technical and data analysis skills, to support this project.
The Research Assistant will work on and contribute to ongoing and planned research activities in digital supply chain technologies, including blockchain, IoT, AI, and data-driven decision-making. The Research Assistant will support systematic literature reviews, data collection and analysis, and the preparation of research papers for submission to high-quality journals. In addition, they will play a critical role in developing competitive funding bids to UKRI and other major research councils, thereby enhancing the school’s research income and impact profile.
The Research Assistant will be responsible for:
- Planning research activities
- Updating the literature review
- Securing updated ethical approval for the research
- Conducting multi-disciplinary research (Interview, Survey, Design Science research, etc.)
- Requirements Gathering and Platform Scoping and stakeholder mapping activities
- Work with the project team to define user groups, including SMEs, recyclers, manufacturers, researchers, etc.
- Translate stakeholder needs into technical requirements, user stories, and system features
- Searchable stakeholder directory and mapping skills and training/resource
- Web-Based Platform Development, i.e. Python, PHP, etc.
- Data Model Development and dummy data
- User Interface and User Experience Design
- Dashboard or visual summary of skills map regional/community mapping;
- Testing, Validation, and Refinement
- Documentation and Final Deliverables
Candidate and Skills Requirements:
- We are particularly seeking a student with a background in IT, Computer Science, or Supply Chain Management, or someone with strong technical and data analysis skills, to support this project
- A degree or postgraduate experience in Computer Science/supply chain
- Experience of using Excel or SPSS for quantitative analysis
- Experience of using NVivo or similar for qualitative analysis
- Web development and Human-Computer Interaction
- Ability to design and implement a simple database-backed web platform
- Programming experience in at least one relevant language or framework, such as Python, JavaScript, PHP
- Ability to translate research and stakeholder requirements into technical features
- Strong documentation and communication skills
- Ability to work independently and deliver outputs
Other Information:
Rate of Pay : £15.85 per hour
Working Hours: Approximately 8 hours per week, worked flexibly to suit the Research Assistant. Weekly hours may fluctuate depending on project requirements.