job description
Join the National University of Singapore (NUS), a globally renowned institution at the forefront of academic excellence, as a Research Associate (Theoretical Modelling). This is a unique opportunity to contribute to cutting-edge research in theoretical modelling while enjoying the flexibility of remote work from the tropical paradise of Bali, Indonesia.
In this role, you will collaborate with a dynamic team of researchers to develop and refine theoretical models that address complex scientific and engineering challenges. Your work will have a direct impact on advancing knowledge in fields such as computational physics, applied mathematics, or systems engineering, depending on the project's focus. This position is ideal for a detail-oriented, analytical thinker who thrives in a collaborative and intellectually stimulating environment.
As part of NUS, you will have access to world-class resources, including high-performance computing facilities, research databases, and opportunities to publish in top-tier journals. You will also benefit from a supportive work culture that values innovation, creativity, and professional growth. Whether you are based in Canggu, Ubud, Denpasar, or another part of Bali, this role offers the perfect blend of professional development and an enviable lifestyle.
If you are passionate about theoretical modelling and eager to make a meaningful contribution to research while enjoying the beauty of Bali, we encourage you to apply. This is your chance to work with one of Asia's leading universities without compromising on work-life balance.
Responsibility
- Develop, validate, and refine theoretical models to simulate complex systems in physics, engineering, or related fields.
- Collaborate with multidisciplinary research teams to design and execute modelling experiments.
- Analyze and interpret data from simulations to derive actionable insights and recommendations.
- Publish research findings in peer-reviewed journals and present at international conferences.
- Optimize existing models for accuracy, efficiency, and scalability using advanced computational techniques.
- Provide mentorship and guidance to junior researchers or graduate students as needed.
- Stay updated with the latest advancements in theoretical modelling and computational tools.
- Contribute to grant proposals and secure funding for future research projects.
Qualifications
- Master’s or Ph.D. in Theoretical Physics, Applied Mathematics, Computational Science, Engineering, or a related field.
- Proven experience in developing and implementing theoretical models, preferably in an academic or research setting.
- Proficiency in programming languages such as Python, MATLAB, C++, or Fortran for modelling and simulation.
- Strong background in numerical methods, statistical analysis, and data visualization.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Experience with high-performance computing (HPC) or cloud-based computational tools is a plus.
- Published research in peer-reviewed journals or conference proceedings is highly desirable.
- Fluency in English, with strong written and verbal communication skills.