Technical Assistant for Develop AI/ML Models to Detect and Map Household Locations and Road Nets Using Satellite Imagery

GeneralPosted 1 hr ago

Location

Phnom Penh

Job Type

CONTRACT

Work Mode

On-site

Industry

Government Administration

Languages

Khmer

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About the role

The primary objective of hiring a Technical Assistant (TA) is to: Develop AI/ML models using satellite imagery from Sentinel, Landsat, and Planet to detect and update household and building locations.
Develop AI/ML models to detect and map road.
The selected TA will closely with the Head of the MIS Unit and relevant CNM teams to assess available data, develop and validate AI/ML models, generate GIS-compatible outputs, and provide relevant technical documentation and knowledge transfer.
DUTIES & RESPONSIBILITIES: Assessment and Planning Assess requirements for managing, maintaining, accessing, and integrating relevant geographic information.
Develop a proposed methodology and implementation plan for GIS layer and API development.
Geographic Data Management and Access Establish appropriate data management and access mechanisms for relevant geographic information.
Develop appropriate approaches for structuring, managing, and making available household/building location and road net data for use within the MIS.
GIS Layers and API Development Generate standardized GIS layers based on relevant geographic datasets.
Develop APIs, data access services, or other appropriate mec.

Required Skills

AI/ML model developmentSatellite imagery analysisGISData managementAPI developmentTechnical documentationKnowledge transferCollaborationAssessment and PlanningMethodology developmentImplementation planningData access mechanismsGeographic Information SystemsAI/MLAPIMIS

About CNM

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CNM has been strengthening the use of digital technologies, geospatial information, and data-driven approaches to support malaria surveillance, program management, planning, implementation, and decision-making.