Within the new project titled “Studying Autonomous Vehicles Policies with Urban Planning in Singapore”, we aim to evaluate the feasibility of autonomous vehicle (AV) policies and investigate their land and transport implications. This project focus on the deployment of AVs in both a greenfield and an infill/brownfield areas in Singapore as well as the development of suitable urban design and AV operation schemes. Part of our research agenda involves the development of the SimMobility simulation framework that integrates and links together various mobility-sensitive behavioral models with state of-the-art simulators to predict impacts of mobility demands, infrastructure changes, and evolving transportation options on the deployment and delivery of people, firms, services and freight.
The Future Urban Mobility Interdisciplinary Research Group (FM) is currently seeking a Research Engineer, based at the SMART Centre in Singapore. The job scope are as follows:
- Data preparation, analysis, and visualization
- Contribute to the development and implementation of behavioral and optimization models and (e.g. demand generation, tour creation, fleet optimization).
- Work with the Research Scientists and programmers to turn transport models into working code, involving the design, implementation, and testing of the models and code.
- Prepare and give presentations to project stakeholders and to third parties
- Work with the researchers on publishing research papers.
The candidate should have the following:
- Bachelors’ or Master’s degree in Transportation, Urban Planning, Statistics, or related field
- General knowledge of Transportation Systems and/or Activity Based Modelling
- Basic programming skills
- Data analysis and data preparation skills
- Statistics and Modelling skills (e.g., discrete choice modelling)
- Independent and self-motivated, yet able to work as part of a multidisciplinary team.
- Demonstrated ability to effectively manage concurrent technical tasks with competing priorities.
- Proficient verbal and written communication skills.
Candidate with any of the following will have an advantage:
- Relevant experience in the urban planning and transportation field.
- Experience using transport simulation software.
- Knowledge of R, Python, QT, LUA, and/or MATLAB.
- Able to work with GIS programs especially QGIS
The position will be based at the SMART FM Offices on the new campus of the National University of Singapore (NUS). The research engineer will work with an integrated team of of faculty, researchers and students from SMART, MIT and Singapore partners, namely: Dr. Le Thi Diem Trinh (SMART), Prof. Christopher Zegras (MIT), Prof. Joseph Ferreira (MIT) and Prof. Moshe Ben-Akiva (MIT).
Interested applicants will have to submit their full CV/resume, cover letter and list of three references (to include reference names and contact information) via the stated website. We regret that only shortlisted candidates will be notified.