As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. 

The primary responsibility of this role is to deliver on a research project where you will be part of the research team to develop a high-resolution ambient temperature model that accurately translates Land Surface Temperature (LST) maps from satellite imagery into actual ambient temperature readings with minimal error margins. This will enable urban designer to effectively evaluate the impact of Urban Heat Island (UHI) mitigation measures and validate simulation results from microclimate models.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
  1. Weather station deployment and other urban microclimate sensors in selected locations to gather real-time ambient data
  2. Data collection, analyse the ambient temperature data, and correlating pixel-based surface temperature data with ground-based measurements to support model validation
  3. Technical data integration of 3D building data such BIM model and geospatial data such as hard surface, greenery in Geographical Information System (GIS) such as QGIS open platform.

• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of sustainable built environment, including in neighbourhood and building-scale modelling.
• Have a degree in Environmental Science or Environmental Engineering or Sustainable Built Environment or Building Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of Geographical Information System (GIS) database processing and analysis will be advantageous

Key Competencies

• Able to develop 3D model at neighbourhood and building-scale
• Have analytical skills to understand the correlation between different climate data with geospatial data. 
• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work