Research Fellow (Power Grid Optimisation & GUI Development) - EFX2

Company not disclosed

Singapore, Singapore
Salary not specified
Posted
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Job Description

Job Description Research Fellow (Power Grid Optimisation & GUI Development) - EFX2 Posting Start Date: 30/03/2026 Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation of Singapore’s maritime sector. The project focuses on developing planning methods to support the electrification of harbour craft fleets, using real-world operational data to derive charging demand profiles and infrastructure recommendations. As part of this work, we are seeking a Research Fellow to lead the development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and visualise simulation outputs. The RF will also support increasing coordination between different projects as the number of case studies and incoming datasets continues to grow. Key Responsibilities - Design and develop a GUI tool to make model inputs/outputs accessible to end-users - Collaborate with project leads and researchers to ensure technical accuracy of the interface - Support integration of simulation outputs across Projects 3-1 and 3-2 - Manage and process large sets of operational data for case study analysis - Contribute expertise in power grid optimisation to enhance planning models - Participate in stakeholder engagements and respond to evolving technical needs Job Requirements - A strong background in power systems, energy modelling, or grid optimisation - Proficiency in GUI development (e.g. using Python Dash, Tkinter, or web-based frameworks) - Experience working with data-driven simulation and model validation in power grids (Ph.D level is mandatory) - Ability to work independently and collaboratively in a fast-paced, multi-stakeholder environment - Prior exposure to maritime or transport-related electrification studies is a plus

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