Part-Time Lecturers - Geographic Information Systems (GIS) and Remote Sensing (RS) at Regional Centre for Mapping of Resources for Development (RCMRD)

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