Research Engineer (Mobility Simulation & Digital Twin)

Singapore Posted 5d First seen 4d
ATS Keyword Match See which key terms from this posting your resume already has. Free.

Contract until March 2027

As a Research Engineer, you will support the design, development, and implementation of mobility and transportation simulation solutions, digital twin platforms, and AI-driven optimization technologies. The role focuses on addressing urban mobility, logistics, and infrastructure challenges through simulation modeling, software development, data analysis, and AI integration.

Key Responsibilities

  • Develop and configure mesoscopic and microscopic simulation models.
  • Design simulation workflows, application logic, and system behavior models.
  • Build software modules for simulation execution, analysis, and visualization.
  • Process, analyze, validate, and optimize simulation data and results.
  • Conduct testing, debugging, and troubleshooting to ensure system reliability.
  • Support prototype development, demonstrations, and research exhibitions.
  • Collaborate with multidisciplinary teams on solution design and implementation.
  • Integrate AI/ML models into simulation and optimization workflows.
  • Maintain documentation, version control, and development records.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Industrial Engineering, Transportation Engineering, Civil Engineering, Data Science, Applied Mathematics, or a related discipline.
  • Fresh graduates are welcome to apply if they have done some relevant projects, 2 years of experience is an advantage.
  • Experience with simulation tools (e.g., AnyLogic) and simulation methodologies such as discrete-event and agent-based modeling.
  • Proficiency in Java and Python.
  • Knowledge of GIS tools (ArcGIS, QGIS) and geospatial data formats (OpenStreetMap, GeoJSON, Shapefile).
  • Experience with web application development, APIs, and system integration.
  • Strong analytical, problem-solving, and debugging skills.
  • Good communication skills and ability to work in a collaborative research environment.

Ideal Candidate

A technically strong engineer with an interest in transportation systems, smart cities, digital twins, simulation technologies, AI/ML, and data-driven optimization, capable of turning research concepts into practical, real-world solutions.