8 condition-monitoring-machine-learning Fellowship positions at Queen's University Belfast
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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staff for reporting and monitoring. This role will coordinate demonstrator project teams, assigning tasks for SUMIT administration staff, setting deadlines, and ensuring that the team is working
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progress and output reports on their work and ensure they are escalated to the appropriate staff for reporting and monitoring. This role will coordinate demonstrator project teams, assigning tasks for SUMIT
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progress and output reports and ensure they are escalated to the Programme Manager on time for reporting and monitoring to funders. They will maintain a personal research plan by, managing and undertaking
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. You will support and enable communities to ensure needs are met, risks and issues are monitored for quality, the recruitment and procurement procedures are adhered to, and financial controls are in
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outreach activities, prepare progress and output reports on their work and ensure they are escalated to the appropriate staff for reporting and monitoring. This role will coordinate demonstrator project
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support the process of shared learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both