- Applicants should hold at least a Bachelor's Degree and Masters Degree in Remote Sensing, Geomatics, Geomatic Engineering, Geoinformatics, Geographic Information Systems (GIS), Environmental Science, Physics, Computer Science, Artificial Intelligence, Data Science, Statistics, Software Engineering, Data Engineering, Information Security, Land Administration, Surveying, Geodesy, Civil Engineering, Electrical Engineering, Electronics Engineering, Computer Engineering, Aerospace Engineering, Mechanical Engineering, Space Engineering, Mechatronics Engineering, Robotics, Urban Planning, Architecture, Design, Business, Economics, or any other closely related field.
- Applicants should have a minimum of two (2) years of relevant professional and/or industry experience in geospatial technologies, Earth observation, remote sensing, artificial intelligence, data science, space science, engineering, environmental monitoring, land administration, smart infrastructure, corporate training, professional training, or a related field.
Professional Qualifications and Skills
Applicants should possess professional certifications and/or demonstrated competency in one ormore of the following areas:
- Hyperspectral Image Analysis and Spectral Library Development
- Image Classification Algorithms
- Mineral and Vegetation Mapping
- Synthetic Aperture Radar (SAR) and InSAR Processing
- SNAP and SARscape
- Google Earth Engine
- Flood and Deforestation Mapping
- Ground Deformation Monitoring
- TensorFlow, PyTorch and Convolutional Neural Networks (CNNs)
- Transfer Learning and GeoAI
- Object Detection, including YOLO and Mask R-CNN
- Image Annotation and Labelling
- Cloud Computing, including AWS, Microsoft Azure and Google Cloud Platform
- Scalable Geospatial Pipeline Design
- Spatial Statistics, Spatial Regression and Predictive Modelling
- Machine Learning, Scikit-learn and R Programming
- Natural Language Processing (NLP) and Large Language Model (LLM) Integration
- Market Analysis, Geospatial Value Chain Development and Business ModelDevelopment
- Satellite Communications, Ground Station Operations, Telemetry, Tracking andCommand (TT&C)
- Chatbot Development and Spatial Database Automation
- Open Geospatial Consortium (OGC) Standards and ISO 19115 Metadata
- Spatial Data Infrastructure (SDI), GeoServer and GeoNode
- ArcGIS Hub and OGC Web Services (WMS, WFS and WMTS)
- Cloud Data Lakes, Distributed Computing, Hadoop and Spark
- Data Warehousing and Land Information Management Systems (LIMS)
- Land Governance and Fit-for-Purpose Land Administration (FFP-LA)
- Partnership and Grant Management
- CubeSat Design and Payload Integration
- Space Systems Engineering and Space Weather
- Meteorology and CORS Network Management
- Precise Point Positioning (PPP)
- Digital Twin Technologies, ArcGIS CityEngine, Cesium and Bentley iTwin
- Internet of Things (IoT) Integration
- LiDAR Processing, Point Cloud Classification and 3D Modelling
- Building Information Modelling (BIM)
- Unity, Unreal Engine, Augmented Reality (AR) and Virtual Reality (VR)
- BIM-GIS Interoperability and Industry Foundation Classes (IFC)
- Infrastructure Digital Twins and Indoor Positioning Systems
- IndoorGML and IoT Sensor Networks
- LoRaWAN and Sigfox
- Blockchain for Land Administration
- Geospatial Data Security
- Autonomous Drone and Unmanned Ground Vehicle (UGV) Operations
- Swarm Robotics and Remotely Piloted Aircraft Systems (RPAS)
- Civil Aviation Regulatory Compliance
- Cybersecurity and Critical Infrastructure Protection
Other recognized professional certifications and competencies relevant to geospatial technologies, artificial intelligence, space science, engineering, environmental monitoring, smart infrastructure, corporate training, or related disciplines will be an added advantage.