Deskripsi Pekerjaan
Are you passionate about shaping the future of sustainable energy? Nanyang Technological University (NTU), consistently ranked among the world's top institutions, is seeking a motivated Research Assistant to join our prestigious School of Electrical and Electronic Engineering (EEE). This role offers a unique opportunity to contribute to cutting-edge research in power grids, energy markets, and the integration of renewable energy sources.
As a key member of our research team, you will leverage advanced AI-driven methodologies, sophisticated simulation tools, and robust control strategies to solve complex challenges in modern power systems. You will work in a collaborative, high-impact environment, engaging with world-class faculty and industry partners to advance the transition toward a carbon-neutral future. This position is ideal for an aspiring academic or an engineering professional looking to apply advanced technical solutions to real-world power grid stability and market optimization.
Tanggung Jawab
- Develop and implement advanced simulation models for complex power grid systems and market behaviors.
- Apply artificial intelligence and machine learning algorithms to forecast renewable energy generation and demand patterns.
- Design and test innovative control strategies to enhance grid stability and reliability under high-penetration renewable scenarios.
- Conduct rigorous data collection and analysis to support ongoing research initiatives and publication efforts.
- Collaborate with interdisciplinary teams to translate research findings into actionable insights for industry stakeholders.
- Prepare comprehensive research reports, technical documentation, and high-quality manuscripts for peer-reviewed journals.
- Assist in the administration and maintenance of specialized laboratory equipment and software suites.
Kualifikasi
- Bachelor’s or Master’s degree in Electrical Engineering, Power Systems, Computer Science, or a related field.
- Strong background in power system modeling, simulation tools (e.g., MATLAB/Simulink, PSCAD, or PSS/E).
- Proficiency in programming languages such as Python, R, or C++ for data analysis and algorithm development.
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) applied to energy sector challenges.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills in English, with experience in academic writing preferred.
- Ability to work independently as well as in a fast-paced collaborative research environment.