Research Fellow
Pubblicato il 04-08-2026 - Nanyang Technological University in Italia
Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.For more details, please view System & Grids Team is looking for a Research Fellow in distribution network optimization and flexibility planning using distributed energy resources. The successful candidate will develop and implement a flexibility planning tool for electrical distribution grids. The methodology used shall consider behind-the-meter installations at the consumer side and installations by the utility,
considering different scenarios, with the goal of achieving grid reinforcement and deferring capital expenditure. The tool would also assist in computing the technical parameters related to the contractual configuration through which those who possess the distributed energy resources can be engaged.Key Responsibilities:Power system planning, analysing impact of renewable energy and storage on electrical distribution systems, optimization under uncertainty, and flexibility planning using distributed energy resources (DERs).Design & develop optimization algorithms/tools to plan the deployment of DERs such as energy storage systems (ESS), photovoltaic generations (PV), electric vehicle charging stations (EVCS), flexible building loads, in view of the advanced utility grid operations, ancillary services, and the changes in distribution network.Mathematical modelling of the system-level and device-level co