• Full Time | Contract
• Executive
• Bachelor Degree
• Singapore | Closing On 10 Dec 2021

1-year contract

About Us

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.

Job Description

• Assist in development of the Digital Urban Climate Twin (more information can be found at https://www.coolingsingapore.sg/).
• Opportunity to work with the Data Analysis and Climate Vegetation teams to contribute meaningfully to the research project. 
• Data Analysis of Environmental Datasets
  •  Conduct statistical analysis of microclimate research using tools such as R and Python
  •  Build academic-standard data visualizations for publications
• Assist in research within the Data Analysis, and Climate and Vegetation pillars, which includes fieldwork and model simulations for the CS2.0 project.
• Contracts for this full time position are up to the conclusion of the project (August 31, 2023).
• Hires in the CS2.0 project will be working in a strong multi-disciplinary environment and will interact with researchers based in five leading research institutes in Singapore.

Qualifications

• Bachelor’s degree preferably in the fields of Urban Studies, Earth Sciences, Geography or Architecture.
• Intermediate to Advanced knowledge of data analysis tools such as R, Python or Matlab.
• Comfortable with using Github for version control of datasets.
• Basic understanding of building byelaws, development control regulations, urban planning norms, urban design guidelines in Singapore. 
• Willingness to learn in a multi-disciplinary environment (e.g. able to understand or at least willing to learn basics of environmental studies or statistical research for familiarization wuth project) and collaborate with other team members.