Regional Centre for Mapping of Resources for Development (RCMRD)
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**Academic Qualifications **
Professional Experience
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.