Context
SYSTRA is looking for a Transportation Modeller Transport to join the team. The role focuses on demand forecasting, network performance, scenario analysis, and construction impacts using strategic and simulation models.
Missions/Main Duties
- Develop, calibrate, and validate advanced transport models using industry-standard software (EMME, VISUM, CUBE, AIMSUN, or similar platforms) to analyze traffic patterns, demand forecasting, and network performance.
- Utilize and update transport models to assess the impacts of road closures and construction detour plans on the wider transportation systems.
- Coordinate the modelling work and data exchange between strategic models and micro-level simulation models.
- Analyze complex transportation data sets and synthesize findings into clear, actionable recommendations for stakeholders and decision-makers.
- Design and execute scenario modelling to evaluate the impact of proposed transport interventions, policy changes, and infrastructure investments.
- Collaborate with multidisciplinary teams.
- Prepare detailed technical reports, presentations, and visualizations that communicate modelling results and planning recommendations to both technical and non-technical audiences.
Profile/Skills
Education: University Degree in Transportation Engineering, Civil Engineering or relevant field.
Years of experience: Minimum 5 years of professional experience in transportation modelling, transportation planning, and / or related traffic engineering and infrastructure planning roles.
Technical skills:
- Advanced proficiency with transport modeling software such as EMME, VISUM, CUBE, AIMSUN, and / or equivalent platforms.
- Strong expertise in travel demand forecasting, traffic simulation, and network analysis.
- Demonstrated experience with GIS software and spatial data analysis.
- Solid understanding of transportation planning principles, urban mobility concepts, and transportation policy.
Soft skills:
- Strong written and verbal communication skills with the ability to present technical information to diverse audiences.
