Research Assistant – GeoAI, GIS
Il y a 1 jour
Job, Auvergne-Rhône-Alpes, France
GIS Career Hub
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
corporate_fare
National University of Singapore (Dept. of Geography)
verifiedVerified Listing
Research Assistant – GeoAI, GIS & Urban Flood Resilience
location_onSingapore (On-site)
schedulePosted today
workContract
bar_chartEntry
GeoAIGeospatial Data ScienceGISPythonRemote SensingStreet-Level Imagery
About The Role
Research Assistant – GeoAI, GIS & Urban Flood Resilience at the NUS Department of Geography (Urban Analytics Lab). Join Dr. Hao Li (Geography) and A/P Filip Biljecki (Architecture) on the MOE Tier 1 project "Assessing Urban Flood Resilience against Climate Extreme with GeoAI in Southeast Asia". The project develops a GeoAI-based framework for urban flood resilience using multimodal geospatial data, including GIS, remote sensing, street-view imagery and socio-demographic data.
Responsibilities:
Process, integrate and analyse multimodal geospatial data Develop and evaluate GeoAI / machine-learning methods for urban flood risk and resilience mapping Conduct spatial analysis, statistical analysis and visualisation using Python, R and GIS Support comparative analyses across Southeast Asian cities Literature reviews and contributions to publications and reports Expected start: January 2027. Application deadline: 20 October 2026. Apply via the vacancy page (applications through the NUS Careers website; submit CV in PDF plus NUS Personal Data Consent form). domain National University of Singapore (Dept. of Geography) Leading-edge innovations and technical excellence in the geospatial domain. Visit Websiteopen_in_new
About The Role
Research Assistant – GeoAI, GIS & Urban Flood Resilience at the NUS Department of Geography (Urban Analytics Lab). Join Dr. Hao Li (Geography) and A/P Filip Biljecki (Architecture) on the MOE Tier 1 project "Assessing Urban Flood Resilience against Climate Extreme with GeoAI in Southeast Asia". The project develops a GeoAI-based framework for urban flood resilience using multimodal geospatial data, including GIS, remote sensing, street-view imagery and socio-demographic data.
Responsibilities:
Process, integrate and analyse multimodal geospatial data Develop and evaluate GeoAI / machine-learning methods for urban flood risk and resilience mapping Conduct spatial analysis, statistical analysis and visualisation using Python, R and GIS Support comparative analyses across Southeast Asian cities Literature reviews and contributions to publications and reports Expected start: January 2027. Application deadline: 20 October 2026. Apply via the vacancy page (applications through the NUS Careers website; submit CV in PDF plus NUS Personal Data Consent form).
About The Role
Research Assistant – GeoAI, GIS & Urban Flood Resilience at the NUS Department of Geography (Urban Analytics Lab). Join Dr. Hao Li (Geography) and A/P Filip Biljecki (Architecture) on the MOE Tier 1 project "Assessing Urban Flood Resilience against Climate Extreme with GeoAI in Southeast Asia". The project develops a GeoAI-based framework for urban flood resilience using multimodal geospatial data, including GIS, remote sensing, street-view imagery and socio-demographic data.
Responsibilities:
Process, integrate and analyse multimodal geospatial data Develop and evaluate GeoAI / machine-learning methods for urban flood risk and resilience mapping Conduct spatial analysis, statistical analysis and visualisation using Python, R and GIS Support comparative analyses across Southeast Asian cities Literature reviews and contributions to publications and reports Expected start: January 2027. Application deadline: 20 October 2026. Apply via the vacancy page (applications through the NUS Careers website; submit CV in PDF plus NUS Personal Data Consent form). domain National University of Singapore (Dept. of Geography) Leading-edge innovations and technical excellence in the geospatial domain. Visit Websiteopen_in_new
About The Role
Research Assistant – GeoAI, GIS & Urban Flood Resilience at the NUS Department of Geography (Urban Analytics Lab). Join Dr. Hao Li (Geography) and A/P Filip Biljecki (Architecture) on the MOE Tier 1 project "Assessing Urban Flood Resilience against Climate Extreme with GeoAI in Southeast Asia". The project develops a GeoAI-based framework for urban flood resilience using multimodal geospatial data, including GIS, remote sensing, street-view imagery and socio-demographic data.
Responsibilities:
Process, integrate and analyse multimodal geospatial data Develop and evaluate GeoAI / machine-learning methods for urban flood risk and resilience mapping Conduct spatial analysis, statistical analysis and visualisation using Python, R and GIS Support comparative analyses across Southeast Asian cities Literature reviews and contributions to publications and reports Expected start: January 2027. Application deadline: 20 October 2026. Apply via the vacancy page (applications through the NUS Careers website; submit CV in PDF plus NUS Personal Data Consent form).