GIS / Remote Sensing Expert

Organizational Context

The United Nations Office for Outer Space Affairs (UNOOSA), established in 1958, promotes international cooperation in the peaceful uses of outer space. Its UN-SPIDER programme specifically facilitates the use of space-based technologies and geospatial information for disaster risk management and emergency response. UN-SPIDER supports Member States in applying satellite-derived data and Earth Observation (EO) information to strengthen disaster risk reduction and emergency response capacities, collaborating with national and international partners.

Job Purpose

This UNV assignment is integral to UNOOSA's UN-SPIDER Programme, which is dedicated to facilitating the use of space-based technologies and geospatial information for effective disaster risk management and emergency response. The expert will contribute to UN-SPIDER's mission of supporting Member States in accessing and applying satellite-derived data and Earth Observation (EO) information. This effort is crucial for strengthening national disaster risk reduction frameworks and enhancing emergency response capacities. The role involves working within a collaborative environment that includes national disaster management authorities, regional partners, and international organizations, ultimately promoting evidence-based decision-making and capacity building for global disaster resilience.

Responsibilities

The Remote Sensing Expert will lead the acquisition and processing of multi-sensor satellite data (optical and SAR) to support disaster risk assessments, emergency response, and capacity-building for Member States, aligning with UN-SPIDER's mandate. This includes supporting Technical Advisory Missions (TAMs) by providing expert advice on integrating space-based and Earth Observation data into national disaster risk reduction and emergency management frameworks. The expert will contribute to the UN-SPIDER Knowledge Portal, developing and updating technical content, recommended practices, and training materials on remote sensing and geospatial applications for disaster risk reduction. They will also support the coordination of the UN-SPIDER Regional Support Offices (RSO) network and provide technical expertise to intergovernmental processes and international forums like COPUOS and STSC. Furthermore, the role involves providing GIS and remote sensing technical assistance during disaster events, including supporting emergency mapping mechanisms such as the International Charter on Space and Major Disasters, and coordinating with UN entities and partner organizations. The expert will also assist in identifying follow-on project opportunities and developing proposals for continued engagement in disaster risk reduction and climate resilience, liaising with Member States and stakeholders to assess needs.

Work Experience

A minimum of 7 years of professional experience is required, with at least 5 years in satellite remote sensing, geospatial analysis, or Earth observation. This includes experience in acquiring and advanced processing of Very High Resolution (VHR) optical and SAR data. Candidates should have experience developing automated remote sensing workflows using platforms like Google Earth Engine or Python, and creating high-precision Digital Elevation Models (DEM) for coastal flood simulations. Experience in disaster risk reduction (DRR) projects, particularly with Pacific SIDS, is preferred. Experience with AI/Machine Learning for satellite imagery feature extraction and working in the UN or international development organizations is highly desirable.

Skills

Core competencies include Accountability, Adaptability and flexibility, Creativity, Judgement and decision-making, Planning and organising, Professionalism, and Self-management. Required skills encompass excellent oral and written communication, drafting, formulation, and reporting. Candidates must possess solid computer literacy, including proficiency in Microsoft Office, email, and internet. Expertise areas include Crisis and emergency response, Engineering and construction, and Natural and life sciences. The role requires self-motivation, the ability to work with minimal supervision under tight deadlines, and an interest in space-based technologies for disaster management and the UN system.

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