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Senior, niche pedestrian-modelling role attracting specialized applicants despite metro location.
Highly domain-specific transportation and crowd modelling limits cross-industry transferability.
Explicit 8–14 years, domain expertise, and specialized tooling make shortlisting strict.
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Develop, calibrate, and maintain advanced pedestrian and passenger behavior simulation models for various transportation modes including rail, bus, air, and urban mobility.
Collaborate with cross-functional teams and clients to integrate models into transit projects, optimize passenger flow, station design, and crowd management strategies.
Mentor junior staff, prepare technical reports, and support continuous improvement of modelling methodologies through research and application of emerging trends.
8 to 14 years of experience in pedestrian and crowd simulation modelling for transit facilities such as railway stations, metro, and LRT systems.
Proficiency with static and dynamic passenger modelling tools (e.g., Legion, Viswalk, CAST, MassMotion) and programming languages like Python and/or Excel VBA.
Bachelor's or Master's degree in Urban/Transportation Planning, Civil/Transportation Engineering, Applied Mathematics, or related field.
Employment contingent on successful background verification (BGV); international professional qualification or eligibility for registration preferred.
Experienced in applying data-driven simulation techniques to complex passenger movement and crowd dynamics problems in major transit systems.
Skilled at cross-disciplinary collaboration with data scientists, developers, and project managers in an international and remote delivery environment.
Demonstrates expertise in technical communication, report preparation, client engagement, and mentoring within transportation modelling projects.