Research Engineer (Mobility Simulation & Digital Twin)

TANGSPAC CONSULTING PTE LTD; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

TANGSPAC CONSULTING PTE LTD is seeking a Research Engineer to support the design, development and implementation of mobility and transportation simulation solutions, digital twin platforms, and AI-driven optimization technologies.

The role focuses on solving urban mobility, logistics and infrastructure challenges through simulation modeling, software development, data analysis and AI integration, collaborating with multidisciplinary teams.

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 welcome 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.

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.

Skills

Java

Python

Discrete-event modeling

Agent-based modeling

Data analysis

Testing & debugging

Collaboration

Web APIs

Education

Bachelor's degree in related field

Tools

AnyLogic

ArcGIS

QGIS

OpenStreetMap

GeoJSON

Shapefile

Git

Job description

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.