job description
Join the National University of Singapore (NUS), a globally renowned institution at the forefront of academic excellence and innovation, as a Research Fellow specializing in Mixed Integer Programming (MIP). This is a unique opportunity to contribute to cutting-edge research while enjoying the flexibility of remote work from the tropical paradise of Bali, Indonesia.
As a Research Fellow, you will collaborate with a dynamic team of researchers and industry experts to develop advanced optimization algorithms, solve complex real-world problems, and publish high-impact research in top-tier journals. Your work will have a direct influence on industries such as logistics, supply chain management, energy, and finance, where MIP plays a critical role in decision-making and efficiency improvements.
This role offers a competitive salary, professional development opportunities, and a vibrant remote work culture. You’ll have the chance to engage with global thought leaders, attend international conferences, and work on projects that push the boundaries of computational optimization. Whether you're based in Canggu, Ubud, Denpasar, or another beautiful location in Bali, you’ll enjoy a work-life balance that blends productivity with the island’s rich culture and natural beauty.
If you are passionate about mathematical optimization, algorithm design, and applied research, and thrive in a collaborative yet independent environment, we invite you to apply and become part of NUS’s mission to drive innovation and excellence in research.
Responsibility
- Design, develop, and implement advanced Mixed Integer Programming (MIP) models to solve complex optimization problems in logistics, supply chain, energy, and finance.
- Collaborate with multidisciplinary teams to translate real-world challenges into mathematical formulations and develop scalable solutions.
- Conduct rigorous computational experiments to validate and refine optimization algorithms, ensuring robustness and efficiency.
- Publish research findings in high-impact academic journals and conferences, contributing to the advancement of the field.
- Mentor junior researchers and graduate students, fostering a culture of knowledge sharing and innovation.
- Engage with industry partners to identify research opportunities and apply MIP techniques to practical, real-world applications.
- Stay abreast of the latest developments in optimization theory, computational methods, and related technologies to drive continuous improvement.
- Present research progress and findings to internal and external stakeholders, including academic peers and industry leaders.
Qualifications
- PhD in Operations Research, Computer Science, Applied Mathematics, Industrial Engineering, or a related field, with a focus on optimization or computational methods.
- Proven expertise in Mixed Integer Programming (MIP), linear programming, and combinatorial optimization, with hands-on experience in modeling and solving large-scale problems.
- Proficiency in optimization software and programming languages such as Python (Pyomo, PuLP, Gurobi, CPLEX), C++, or Julia.
- Strong publication record in peer-reviewed journals or conferences, demonstrating impactful research in optimization or related fields.
- Experience with heuristics, metaheuristics, or exact algorithms for solving NP-hard problems.
- Excellent analytical and problem-solving skills, with the ability to decompose complex problems and develop innovative solutions.
- Strong written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.
- Self-motivated and independent, with the ability to work remotely and manage time effectively in a flexible work environment.