Deskripsi Pekerjaan
Nanyang Technological University (NTU) is seeking a highly motivated and talented Research Fellow to join our dynamic team focused on the evolution of power grids and energy markets. As the global energy sector transitions toward decarbonization, this role offers a unique opportunity to contribute to high-impact research aimed at creating resilient, flexible, and intelligent power market frameworks.
You will work at the intersection of power systems engineering, economics, and data science. The successful candidate will leverage AI-enabled decision-making tools to model market behaviors, optimize grid operations, and support the integration of renewable energy sources. This position is ideal for researchers who are passionate about solving complex energy challenges and want to influence the future of sustainable energy infrastructure in Singapore and beyond.
We offer a collaborative, world-class research environment, access to state-of-the-art facilities, and the chance to work alongside leading experts in the energy domain.
Tanggung Jawab
- Develop advanced mathematical models and simulation frameworks for next-generation power market structures.
- Investigate the impact of high-penetration renewable energy on grid stability and market clearing mechanisms.
- Design AI-driven algorithms for predictive maintenance and real-time decision support in smart grids.
- Analyze market design policies to promote grid flexibility and demand-side management.
- Collaborate with interdisciplinary teams to publish high-impact research papers in top-tier energy journals.
- Present research findings at international conferences and engage with industrial stakeholders.
- Mentor junior researchers and students within the project framework.
Kualifikasi
- PhD in Electrical Engineering, Energy Systems, Power Economics, or a closely related field.
- Strong background in power system modeling (e.g., PSS/E, PSCAD, DigSILENT) and market simulation tools.
- Proficiency in programming languages such as Python, MATLAB, or Julia.
- Demonstrated experience in machine learning and optimization techniques (e.g., Gurobi, CPLEX).
- A solid track record of high-quality research publications in peer-reviewed journals.
- Excellent analytical, problem-solving, and communication skills in English.
- Ability to work independently as well as contribute effectively to collaborative research groups.