Research Fellow

2 weeks ago

Singapore SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Full time

Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Researcher Profile First Stage Researcher (R1) Country Singapore Application Deadline 31 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
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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