PSA is transforming the future of port operations and optimization is at the heart of it. Join us in shaping the next-generation automated terminals by delivering intelligent high-performance IT systems that drive real business outcomes.
As part of our Optimization team you wont just write code youll design algorithms that move millions of containers more efficiently make data-driven decisions in real time and help orchestrate one of the worlds most complex logistical ecosystems.
This is an opportunity to:
- Work directly with experienced operations experts in a high-volume data-rich environment.
- Apply knowledge engineering and advanced optimization techniques to real-world high-stakes problems.
- Own the end-to-end process from problem discovery and model formulation to full system delivery.
What Youll Do
- Translate operational challenges into optimization AI or knowledge-engineering problems using deep understanding of data and system dynamics.
- Formulate and develop optimization models (e.g. scheduling routing resource allocation) to improve automation efficiency turnaround times and system resilience.
- Design and experiment with heuristic or metaheuristic methods (e.g. MILP constraint programming evolutionary algorithms) to solve complex combinatorial problems at scale.
- Identify and evaluate new use cases or opportunities for intelligent decision support across PSA terminals.
- Collaborate closely with cross-functional teams to ensure successful solution deployment and measurable business impact.
- Stay updated on the latest AI/optimization research and evaluate its applicability to PSAs ecosystem.
What Were Looking For
- A degree in Computer Science Industrial/Systems Engineering Applied Mathematics or related quantitative field.
- Strong analytical and business analysis skills able to uncover root problems and connect technical solutions to business needs.
- Solid foundation in operations research optimization or AI-related techniques; hands-on experience a strong plus.
- Programming proficiency in C and Java is a must; experience with Python OR tools (e.g. CPLEX Gurobi) or simulation frameworks is a bonus.
- A self-starter with curiosity resilience and the drive to see complex projects through.
- Good verbal and written communication skills.
Only Shortlisted Candidates will be notified.
Required Experience:
Manager