We are seeking an Intern to work with geospatial data to support CSTEP’s research on climate, energy, and sustainability issues.

Responsibilities

• Collect, edit, and manage spatial and tabular data using ArcGIS Pro and/or QGIS.
• Ability to perform core spatial analysis and geoprocessing tasks (e.g., overlay analysis, spatial queries, and zonal statistics) to support research projects.
• Conduct rigorous quality assurance and control (QA/QC) for geospatial data and outputs.
• Develop clear, concise, and publication-quality static maps and figures for reports and briefs.
• Provide geospatial support to a multidisciplinary team of researchers and analysts.
• Document data sources, methodologies, and analysis workflows meticulously.
• Stay updated on emerging trends and technologies in the geospatial field.

Qualifications

Pursuing a bachelor’s or master’s degree in geography, geoinformatics, environmental science, geomatics, or a related field. 

Skill Set

• Excellent analytical and problem-solving skills, with strong attention to detail.
• Exceptional written and verbal communication skills.
• A genuine interest in applying geospatial skills to climate, energy, and sustainability challenges.
• Familiarity with Google Earth Engine (GEE) for accessing and processing satellite imagery would be an advantage.
• Basic programming skills for automation, preferably in Python (e.g., using Pandas, GeoPandas, and Rasterio), are preferred.
• Understanding of remote sensing concepts, including spectral indices such as NDVI and NDBI, is beneficial.
• A portfolio showcasing academic or personal projects (e.g., a GitHub profile or online map portfolio) would be a strong plus.

Duration

2–3 months

This will be a no-pay internship, and incumbents will receive a certificate upon successful completion of the internship.

We are seeking an Intern to work with geospatial data to support CSTEP’s research on climate, energy, and sustainability issues.

Responsibilities

• Collect, edit, and manage spatial and tabular data using ArcGIS Pro and/or QGIS.
• Ability to perform core spatial analysis and geoprocessing tasks (e.g., overlay analysis, spatial queries, and zonal statistics) to support research projects.
• Conduct rigorous quality assurance and control (QA/QC) for geospatial data and outputs.
• Develop clear, concise, and publication-quality static maps and figures for reports and briefs.
• Provide geospatial support to a multidisciplinary team of researchers and analysts.
• Document data sources, methodologies, and analysis workflows meticulously.
• Stay updated on emerging trends and technologies in the geospatial field.

Qualifications

Pursuing a bachelor’s or master’s degree in geography, geoinformatics, environmental science, geomatics, or a related field. 

Skill Set

• Excellent analytical and problem-solving skills, with strong attention to detail.
• Exceptional written and verbal communication skills.
• A genuine interest in applying geospatial skills to climate, energy, and sustainability challenges.
• Familiarity with Google Earth Engine (GEE) for accessing and processing satellite imagery would be an advantage.
• Basic programming skills for automation, preferably in Python (e.g., using Pandas, GeoPandas, and Rasterio), are preferred.
• Understanding of remote sensing concepts, including spectral indices such as NDVI and NDBI, is beneficial.
• A portfolio showcasing academic or personal projects (e.g., a GitHub profile or online map portfolio) would be a strong plus.

Duration

2–3 months

This will be a no-pay internship, and incumbents will receive a certificate upon successful completion of the internship.

We are seeking a candidate to support the Adaptation and Risk Analysis Group in the ongoing work on multi-hazard risk assessment, including floods, landslides, heatwaves, and droughts.

Responsibilities

• Assist in hazard modelling and risk assessment for floods, landslides, and extreme precipitation events.
• Perform geospatial analysis using GIS software (ArcGIS/QGIS) for hazard mapping and vulnerability assessment.
• Support the development of hazard susceptibility and risk maps using statistical or machine learning approaches.
• Assist in data pre-processing and visualisation using programming tools (Python/R).
• Compile and manage datasets from sources such as satellite observations and climate data.
• Contribute to technical reports, documentation, and presentations.
• Support the team in literature review and methodological development related to hazard and climate risk modelling.

Qualifications

• Pursuing a master’s degree in civil engineering, hydrology, water resources, environmental engineering, geoinformatics, climate science, data science, or a related field.
• Evidenced interest/internships working on similar projects (0-1 years’ experience). 

Skill Set

• Knowledge of modelling tools for hazard assessment or modelling.
• Experience with remote-sensing data processing.
• Familiarity with climate datasets (e.g. rainfall, temperature, and climate indices) and hazard drivers.
• Strong analytical, documentation, and communication skills.
• Strong organisational skills, with the ability to manage multiple tasks and work independently.
• Proficiency in Microsoft Office Suite and Google Workspace.
• Basic understanding of natural hazards and climate risk assessment.
• Familiarity with GIS software (ArcGIS/QGIS).
• Basic programming skills in Python or R.
• Experience handling geospatial and climate datasets will be an advantage.

Duration

3 months

We are seeking a candidate to support the Adaptation and Risk Analysis Group in the ongoing work on multi-hazard risk assessment, including floods, landslides, heatwaves, and droughts.

Responsibilities

• Assist in hazard modelling and risk assessment for floods, landslides, and extreme precipitation events.
• Perform geospatial analysis using GIS software (ArcGIS/QGIS) for hazard mapping and vulnerability assessment.
• Support the development of hazard susceptibility and risk maps using statistical or machine learning approaches.
• Assist in data pre-processing and visualisation using programming tools (Python/R).
• Compile and manage datasets from sources such as satellite observations and climate data.
• Contribute to technical reports, documentation, and presentations.
• Support the team in literature review and methodological development related to hazard and climate risk modelling.

Qualifications

• Pursuing a master’s degree in civil engineering, hydrology, water resources, environmental engineering, geoinformatics, climate science, data science, or a related field.
• Evidenced interest/internships working on similar projects (0-1 years’ experience). 

Skill Set

• Knowledge of modelling tools for hazard assessment or modelling.
• Experience with remote-sensing data processing.
• Familiarity with climate datasets (e.g. rainfall, temperature, and climate indices) and hazard drivers.
• Strong analytical, documentation, and communication skills.
• Strong organisational skills, with the ability to manage multiple tasks and work independently.
• Proficiency in Microsoft Office Suite and Google Workspace.
• Basic understanding of natural hazards and climate risk assessment.
• Familiarity with GIS software (ArcGIS/QGIS).
• Basic programming skills in Python or R.
• Experience handling geospatial and climate datasets will be an advantage.

Duration

3 months