Job Summary

IAIC seeks savvy scientists skilled in shaping scalable software solutions for sustainable systems and simulations. The successful candidate will work with a team of scientists and engineers to model, simulate, optimise and analyse electrical power and energy systems to address real-world challenges from government and industry. This role is expected to contribute to research and development of reusable, specialised software solutions that advance intelligence and computational decision-making for Singapore’s net-zero ambitions, transport electrification, and modernised power grid management.

Key Responsibilities

• Research, build and validate physics-based and data-driven computational models for optimal power generation planning and the management of transmission and distribution networks (such as power-flow, state estimation, short-circuit, grid connection and capacity evaluation, dynamic/stability, grid inertia, reliability and resilience analyses).
• Design and prototype digital-twin capabilities for distributed energy resources (photovoltaic systems, electric vehicle charging systems, buildings, energy storage systems, district cooling systems, data centers, fuel cells), microgrids and utility infrastructure, suitable for AI-enabled applications and LLM-integrated agentic workflows.
• Collaborate with an agile team to design, develop and deploy functional, performant, reusable, scalable and maintainable software solutions for power system planning and operational applications using open-source and permissive software libraries.
• Support and contribute to research proposals, technical reports, intellectual property disclosures, publications and collaborative projects with government, industry and academic partners.

Job Requirements and Good-to-Haves

• PhD (Doctor of Philosophy) degree in electrical/power engineering, computer science, operations research, or related fields, with a strong background in power and energy systems (modelling, analysis, simulation and mathematical optimization).
• Highly proficient in Python3 and/or C/C++ programming.
• Excellent written and verbal communication skills.
• Proficiency in using AI-assisted productivity tools and copilots.
• Ability to adapt and work individually as well as in a team.
• Good-to-Have: Demonstrable research/project experience using relevant open-source libraries and/or commercial software for power systems, and experience working on large-scale real-world datasets.
• Good-to-Have: Familiarity with version control (Git), SQL/NoSQL databases, client-server architectures, REST APIs, HTML5, CSS3, JavaScript/TypeScript (Node.js), and software packaging and containerization technologies.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.