Category 1: LCA and Decision support Systems

Job title: Research Fellow on Life Cycle Sustainability Analysis of urban waste and energy systems

Job location: CREATE E2S2/NUS Department of Chemical and Biomolecular Engineering/ NUS Environment Research Institute

Description : A circular economy will bring significant environmental and economic benefits by using material and energy recovery through waste streams to provide support for carbon capture and substitute fossil fuels. The project includes the following components: 1) Review literature and compare current waste treatment and energy structures in several mega cities (e.g., Singapore and Shanghai) through their economic and environmental metrics through techno-economic and life cycle sustainability analysis. 2) Design viable waste recycling and treatment structures for Singapore, and evaluate carbon and water footprints, resource consumption and ecosystem impacts of different scenarios. 3) Carry out life-cycle assessment (LCA) and techno-economic analyses of all the treatment steps once waste being generated, and emphasize the influence of the individual step on the whole waste management streamline. The project will link directly with ongoing research carried out at the CREATE E2S2 program, as well as the Smart Systems Engineering (SSE) group together with various academic, governmental and industrial agencies. We offer the opportunity to work on an exciting multi-disciplinary case with potential real-world applications.

Requirement: The candidate should have strong interest and capability in environmental and economic analyses and be proactive, organized and willing to learn different tools and communicate with different teams, better with high-quality publications on relevant topics before. PhD degrees in chemical engineering, environmental science and engineering, materials engineering, or any computational domain are expected.

Please send your CV and selected publications to Dr Xiaonan Wang chewxia@nus.edu.sg for an initial evaluation

Category 2: AI and IoT

Always open for machine learning and blockchain experts.