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Position: WBG Pioneer - SPARC for Conflict-Affected and Reconstruction Contexts Intern
Company: World Bank Group
Contract Type: Contract
Qualification: MBA/MSc/MA, PhD/Fellowship
Location: Data, Business Analysis and AI, ICT / Computer, Internships
Organizational Context: The Smart Parcel Atlas for Resilient Cities (SPARC) is a geointelligence initiative of the World Bank Group that helps project teams and municipal governments generate and apply spatial evidence at the parcel scale for urban planning, infrastructure prioritization, land management, disaster risk management, and investment decisions. SPARC combines satellite imagery, global datasets, geo-AI methods, and administrative information to produce decision-ready layers on buildings, parcels, land use, infrastructure access, hazard exposure, population dynamics, and urban growth. The internship will support SPARC's thematic expansion into conflict and reconstruction contexts (e.g., South Sudan, Sudan, Ukraine), focusing on how geospatial intelligence at the parcel and neighborhood levels can inform remote monitoring, damage and change detection, population and displacement dynamics, service disruption analysis, and operational prioritization for recovery and resilience investments.
Responsibilities:
Review SPARC documents, reconstruction and forced displacement use cases, and good practices in remote monitoring, damage detection, displacement tracking, and urban recovery analysis.
Map relevant conflict-specific data sources and methods (including forced displacement), including satellite imagery, building footprints, road networks, land cover, nightlights, population proxies, hazard exposure layers, and administrative datasets.
Support the definition of SPARC use cases for conflict and post-conflict contexts, including reconstruction prioritization, service disruption screening, and remote supervision of recovery investments.
Contribute to analytical frameworks, prototype analyses, mockups, and concise operational documents for selected contexts, subject to data availability and team priorities.
Prepare notes, briefings, slide contributions, and documentation on data quality, uncertainty, limitations, validation needs, ethical considerations, and appropriate use in sensitive FCV contexts.
Selection Criteria:
Candidates must be currently enrolled in or in the final year of a master's or doctoral program.
Candidates must have 1 to 6 years of relevant professional experience.
Academic background in urban planning, geography, geospatial analysis, data science, remote sensing,
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Required experience — World Bank Group requires 6 years: each role in your CV must show clear progression with measurable results — not just generic responsibilities.
Development bank — These institutions value analytical rigor and results frameworks (logframe, ToC). Prior publications or reports are a decisive asset. Familiarity with the bank's procurement procedures is often required.
Field competencies — Detail your on-site experience: conditions managed, equipment mastered, safety standards applied. A portfolio of technical drawings/reports concretely proves your skills.
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