Research Engineer, Urban Institute (contract ending 31 Dec 2025)
COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
The SMU Urban Institute, launched in early 2024, is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing research projects at the Institute.
Work under supervision of PI (Principal Investigator) to create and operate a large-scale taxi/ride-hailing simulator in Singapore setting. The major responsibilities are:
- Refit an existing large-scale taxi/ride-hailing simulator using latest street topology.
- Process large datasets from LTA and Gojek to prepare for simulation calibration.
- Design an automated process to calibrate the simulation model, so that it is consistent with real-world data.
- Bachelors/Masters degree in Computer Science or a related computing focused discipline is required.
- Previous research experience is highly preferred.
- Excellent coding ability and experience in Python or Java is essential.
- Coursework in data structures and algorithms, probability and statistics.
- Experience with geospatial data analytics is a big plus.
- The candidate should provide a sample of significant project on github/bitbucket.
#LI-XL1
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management UniversityCOMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
The SMU Urban Institute, launched in early 2024, is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing research projects at the Institute.
Work under supervision of PI (Principal Investigator) to create and operate a large-scale taxi/ride-hailing simulator in Singapore setting. The major responsibilities are:
- Refit an existing large-scale taxi/ride-hailing simulator using latest street topology.
- Process large datasets from LTA and Gojek to prepare for simulation calibration.
- Design an automated process to calibrate the simulation model, so that it is consistent with real-world data.
- Bachelors/Masters degree in Computer Science or a related computing focused discipline is required.
- Previous research experience is highly preferred.
- Excellent coding ability and experience in Python or Java is essential.
- Coursework in data structures and algorithms, probability and statistics.
- Experience with geospatial data analytics is a big plus.
- The candidate should provide a sample of significant project on github/bitbucket.
#LI-XL1
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University