Geospatial analyst gis crisis e security
Pubblicato il 10-10-2026 - DID in Varese
DID S.r.l. ricerca un Geospatial Analyst (GIS) – Crisis, Conflict & Security per un incarico near-site presso un'Istituzione Europea a Ispra (VA). Di seguito il testo integrale dell'possibilità. JOB OPPORTUNITY · EU INSTITUTIONS — Geospatial Analyst – Crisis, Conflict & Security (GIS) Arc GIS · QGIS · Copernicus / Sentinel · ACLED / UCDP · Crisis Management · Ispra (VA)
CLIENT: European Institution – research centre, Disaster Risk Management unit
PROFILE: Geospatial Analyst for crisis, conflict and security (GIS specialist) – Advanced level
WORK MODE: Near-site: full-time on-site in Ispra (VA), Italy; occasional remote work by mutual agreement
CONTRACT: Time & Means, specific contract (may be executed in phases)
EXPERIENCE:
10+ years of professional experience
EDUCATION:
Master's degree (EQF Level 7); Ph D in Political Science / IR is an asset
LANGUAGES: English C1 or higher (spoken and written)
DAILY RATE: To be agreed BACKGROUND & MANDATE DID S.r.l. is looking for an experienced Geospatial Analyst (GIS specialist)
for a near-site assignment with a European Institution in Ispra (VA), within the unit dealing with disaster risk management and crisis management. The consultant will join a crisis management laboratory that develops analytical approaches and ICT tools for situational awareness and crisis response in near-real time.
The role focuses on geospatial analysis for crisis, conflict and security monitoring, producing maps, analyses and reports for EU services working in external relations, civil protection and humanitarian aid.
The environment is multicultural and multilingual, with strong emphasis on diligence, discretion and responsibility when handling sensitive data. MAIN TASKS Situational-awareness mapping: design and deliver high-quality cartographic products, thematic maps and data visualisations on conflict and security for EU decision-makers - Daily monitoring: select, collect, validate and integrate open-source information into structured GIS datasets