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Part-Time Lecturers - Geographic Information Systems (GIS) and Remote Sensing (RS) at Regional Centre for Mapping of Resources for Development (RCMRD)
Regional Centre for Mapping of Resources for Development (RCMRD)
September 21, 2026
Full-time
On-site
Academic Qualifications
Applicants should hold at least a Bachelor's Degree in Environmental Science, Environmental Management, Natural Resources Management, Geography, Ecology, Forestry, Disaster Management, Emergency Management, Geomatic Engineering, Geospatial Engineering, Surveying, Remote Sensing, Geographic Information Systems (GIS), Geoinformatics, Cartography, Computer Science, Information Technology, Statistics, Data Science, Mathematics, Artificial Intelligence, Geology, Hydrology, Public Health, Environmental Health, Epidemiology, Meteorology, Climate Science, Atmospheric Science, Geodesy, Civil Engineering, Transportation Engineering, or any other relevant field.
Professional Experience
Applicants should have a minimum of two (2) years of relevant professional and/or industryexperience in GIS, Remote Sensing, geospatial technologies, environmental management, disaster management, data science, engineering, or a related field.
Professional Qualifications and Skills
In addition to the academic qualifications, applicants should possess relevant professional certifications and/or demonstrate competency in areas including:
Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA)
Environmental Auditing and Occupational Health and Safety (OHS)
Climate Change Adaptation and Mitigation
Disaster Risk Reduction (DRR) and Humanitarian Response
Emergency Preparedness and Incident Command Systems (ICS)
Early Warning Systems, Risk Assessment and Vulnerability Mapping
UAV Mapping and Drone Operations
Digital Photogrammetry and LiDAR Processing
Satellite Image Analysis and Remote Sensing
ArcGIS Pro, QGIS, Google Earth Engine and spatial analysis
Geospatial Data Management and Earth Observation Applications
Python, R, ArcPy and GeoPandas
Spatial Statistics, Machine Learning, Deep Learning and GeoAI
Computer Vision and Earth Observation Analytics
TensorFlow and PyTorch
Cloud Computing and Big Data Analytics
PostgreSQL/PostGIS, SQL Server and Oracle Spatial
Enterprise GIS, Web GIS and GeoServer
Spatial Data Infrastructure (SDI) and Database Administration
Natural Resource, Forestry, Biodiversity and Ecosystem Mapping
Health GIS, Disease Surveillance and Spatial Epidemiology
Climate Data Analysis, Weather Forecasting and Climate Modelling
Geodesy, GNSS Applications and Atmospheric Monitoring
BIM, Infrastructure GIS, Transportation Planning and Utility Mapping
Surveying, Smart Cities and Asset Management Systems
Applicants should hold at least a Bachelor's Degree in Environmental Science, Environmental Management, Natural Resources Management, Geography, Ecology, Forestry, Disaster Management, Emergency Management, Geomatic Engineering, Geospatial Engineering, Surveying, Remote Sensing, Geographic Information Systems (GIS), Geoinformatics, Cartography, Computer Science, Information Technology, Statistics, Data Science, Mathematics, Artificial Intelligence, Geology, Hydrology, Public Health, Environmental Health, Epidemiology, Meteorology, Climate Science, Atmospheric Science, Geodesy, Civil Engineering, Transportation Engineering, or any other relevant field.
Professional Experience
Applicants should have a minimum of two (2) years of relevant professional and/or industryexperience in GIS, Remote Sensing, geospatial technologies, environmental management, disaster management, data science, engineering, or a related field.
Professional Qualifications and Skills
In addition to the academic qualifications, applicants should possess relevant professional certifications and/or demonstrate competency in areas including:
Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA)
Environmental Auditing and Occupational Health and Safety (OHS)
Climate Change Adaptation and Mitigation
Disaster Risk Reduction (DRR) and Humanitarian Response
Emergency Preparedness and Incident Command Systems (ICS)
Early Warning Systems, Risk Assessment and Vulnerability Mapping
UAV Mapping and Drone Operations
Digital Photogrammetry and LiDAR Processing
Satellite Image Analysis and Remote Sensing
ArcGIS Pro, QGIS, Google Earth Engine and spatial analysis
Geospatial Data Management and Earth Observation Applications
Python, R, ArcPy and GeoPandas
Spatial Statistics, Machine Learning, Deep Learning and GeoAI
Computer Vision and Earth Observation Analytics
TensorFlow and PyTorch
Cloud Computing and Big Data Analytics
PostgreSQL/PostGIS, SQL Server and Oracle Spatial
Enterprise GIS, Web GIS and GeoServer
Spatial Data Infrastructure (SDI) and Database Administration
Natural Resource, Forestry, Biodiversity and Ecosystem Mapping
Health GIS, Disease Surveillance and Spatial Epidemiology
Climate Data Analysis, Weather Forecasting and Climate Modelling
Geodesy, GNSS Applications and Atmospheric Monitoring
BIM, Infrastructure GIS, Transportation Planning and Utility Mapping
Surveying, Smart Cities and Asset Management Systems