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Engineering or related disciplines. Priority skill areas include: process monitoring and control, industry 4.0, modeling, AI and ML applications for the process industries with particular emphasis on delivering
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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Engineering: Transport infrastructure asset management / Domain Expertise in maintenance, operation and modelling of infrastructural assets and systems Systems Engineering: Competent in data analytics
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centric model of business education, with the ultimate goal of delivering industry-relevant training. Additionally, the Cluster is a proud member of the AACSB Business Education Alliance, reinforcing its
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into food model systems. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as
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technology for bio- and chemical transformations, separations, purifications and formulation applied to pharmaceuticals manufacture; modelling of processing steps and whole processes to support innovation
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, future communications/5G, and quantum computing. Key Responsibilities: Facilitate and conduct all teaching
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integration of the three pillars of sustainable development. Knowledge in sustainability-related technologies such as carbon capture, utilisation and storage, as well as business practices and models such as
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, trustworthy AI, explainable AI, large language models, quantum computing.