INTERNSHIP DETAILS

Intern (ITD-ITOP) 2601-013

CompanyAsian Development Bank
LocationManila
Work ModeOn Site
PostedFebruary 17, 2026
Internship Information
Core Responsibilities
The intern will conduct AI/ML research focused on climate and disaster risk analytics, applying techniques like pattern detection and predictive modeling to large datasets to enhance platforms like the ADB Climate & Disaster Risk Explorer. This involves assessing data suitability, developing proof-of-concept analyses, and examining Responsible AI considerations.
Internship Type
full time
Company Size
8292
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Working together with our partners, we help solve Asia and the Pacific’s most complex development challenges
About the Role

Information Technology Department

Digital for Development Operations Division (ITOP) 

 

1. Internship Topic

AI Research for Climate and Disaster Risk Analytics

 

2. Summary of Job Description

This internship focuses on supporting AI-driven research to strengthen climate and disaster risk analytics in the Asia and Pacific region, where timely and evidence-based decision support is increasingly critical. The intern will contribute to advancing ADB's digital platforms, such as the Climate & Disaster Risk Explorer, by applying AI, machine learning, and advanced data analytics to large-scale climate, geospatial, and disaster datasets. The role emphasizes methodological rigor, data readiness, and Responsible AI to enhance risk-informed planning and decision-making across developing member countries.

The intern will 

  • Conduct research on AI and machine learning methods relevant to climate and disaster risk analytics (e.g. pattern detection, predictive modeling, computer vision, natural language processing, and geospatial AI)
  • Explore how AI techniques could enhance risk analytics and decision-support capabilities within platforms such as the ADB Climate & Disaster Risk Explorer, including data integration, risk characterization, and scenario analysis
  • Review and assess climate, hazard, exposure, vulnerability, and disaster impact datasets for suitability in AI-based research and modeling.
  • Develop research notes, technical summaries, or proof-of-concept analyses documenting AI approaches, assumptions, limitations, and potential applications
  • Examine Responsible AI considerations in climate and disaster contexts, including transparency, bias, uncertainty, data governance, and human oversight

  • Support internal knowledge sharing by contributing to presentations or briefings on AI research findings

     

3. Period of Assignment

Duration: 11 weeks

Timing: June 2026

 

4. Location

ADB Headquarters, Manila, Philippines

5. Expected Outcomes

  • AI research brief or technical notes outlining promising AI methods for climate and disaster risk analytics and their potential application within ADB platforms
  • Supporting documentation or exploratory analyses (e.g. methodological summaries, data assessments, or conceptual models)


6. Education Requirements

Currently enrolled in a master's degree or PhD program in data science, artificial intelligence, computer science, statistics, engineering, climate science, or a related quantitative discipline

7. Relevant Experience and Other Requirements

  • Strong interest in applied AI research for climate change, disaster risk management, or development contexts
  • Foundational knowledge of machine learning, data analytics, or statistical modeling
  • Ability to communicate technical concepts clearly in written and presentation formats
  • Ability to work effectively in a multicultural and multidisciplinary environment.
  • Preferably with 2-3 years relevant professional experience
  • Excellent oral and written communication skills in English
  • Ability to carry research tasks through published working papers
Key Skills
Artificial IntelligenceMachine LearningData AnalyticsGeospatial AIPredictive ModelingComputer VisionNatural Language ProcessingData ReadinessResponsible AIData GovernanceRisk AnalyticsStatistical ModelingResearchData IntegrationScenario Analysis
Categories
Science & ResearchData & AnalyticsEnvironmental & SustainabilitySoftwareEngineering