Technical Assistant

Workplace Circumstances

• Environment: Office
• Languages: Khmer
• Location: Phnom Penh

Position Summary

Objective and Justification

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.

Scope of Work

The selected TA will work 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.

Reporting

The contractor shall be expected to submit activity and technical reports in line with the set deliverables. The reports and deliverables shall be submitted for review and acceptance by the National Malaria Program before any payment is made.

Schedule of Payments

Payment shall be made based on the agreed milestones and approved deliverables as communicated in the contract.

Period

The work is to be concluded within 89 days, from 27 September 2026 to 24 December 2026. The contractor shall share their proposed implementation schedule in line with the set deliverables.

Duties & Responsibilities

• Assessment and Planning
• Review available satellite imagery and relevant geospatial datasets.
• Assess the availability and suitability of Sentinel, Landsat, and Planet imagery.
• Identify data requirements and develop a proposed methodology and implementation plan.
• Development of AI/ML Models
• Develop models to identify household and building locations from satellite imagery.
• Develop models to identify and extract road networks.
• Model Testing and Validation
• Test the developed models using selected geographic areas and available reference data.
• Review the accuracy and quality of model outputs.
• Identify limitations and refine the models based on validation results.
• GIS Outputs and Documentation
• Generate GIS-compatible outputs and organize datasets for further analysis and use by CNM.
• Prepare technical documentation describing the models, methodology, data requirements, and outputs.
• Knowledge Transfer
• Provide technical guidance and knowledge transfer to relevant CNM staff.
• Expected Outputs
• Assessment report and implementation methodology for AI/ML model development.
• AI/ML models developed for household/building detection and road.
• Tested and refined models based on validation findings.
• GIS-compatible datasets and technical documentation prepared.
• Technical guidance and knowledge transfer provided to relevant CNM staff.

Languages

• Khmer - Good
• English - Good

Qualifications

• Master's Degree in Artificial Intelligence, Machine Learning, Remote Sensing, GIS, Computer Science, Geography, or another related field

Work History

• AI/ML, remote sensing, satellite imagery analysis, or geospatial data processing for 7 years as a minimum

General & Technical Skills

• Demonstrated experience in developing AI/ML models for geographic feature extraction, image classification, object detection, or related applications.
• Experience working with Sentinel, Landsat, and/or Planet satellite imagery.
• Strong knowledge of GIS and geospatial data processing.
• Experience in preparing technical documentation and providing technical guidance or capacity building.
• Familiarity with the health system in Cambodia is desired.
• Experience in malaria or public health is desired.