This job offer was closed at 2025-08-29
Geospatial Data Scientist – Technical Staff for JUST4CARE project
Job Summary
We are looking for a geospatial data scientist who can conduct advanced modelling and spatial-equity analyses (e.g. urban heat-risk, flood exposure, socio-economic vulnerability), co-develop just adaptation indicators, and translate findings into actionable guidance for partner cities and regions.
Specializing in urban risk and geoinformatics, the role involves developing and managing large, global datasets to support geospatial analysis. This involves designing and implementing data models capable of handling diverse and massive datasets, ensuring data accuracy, and developing efficient workflows for analysis. The role also requires collaborating with cross-functional teams to apply geospatial insights to urban planning, disaster risk reduction, and other relevant fields.
Job Description & Benefits
Contribute to model development and data integration within the ARIES platform
Broadly contribute to the ARIES platform, a semantic web infrastructure that uses AI to build computational solutions to environmental, policy, and sustainability problems.
Main requirements/skills:
Suitable degree for developing the tasks of the job description (a master’s degree at minimum; Masters or PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree); e.g. a degree in Computer Science, ICT, Geomatics, Ecoinformatics, Geography, Ecology, Biology.
Domain-specific knowledge of and demonstrated research experience in one or more of the following areas: climate hazards, climate impacts on cities, quantitative modelling experience in other fields for which methodologies are transferable to understanding climate impacts.
Proficiency in GIS software, programming languages like Python or R, and cloud computing platforms (e.g., AWS, Google Earth Engine) is also highly desirable.
Proficiency in integrating and harmonizing data from diverse sources.
Ability to develop scripts and tools for data processing and integration.
Experience in processing global datasets related to climate hazards
Understanding of geospatial data formats and standards.
Experience in developing and applying downscaling methods, particularly for vegetation indices and climate data, is crucial.
Be a compassionate, professional, and reliable team player who values creating and maintaining healthy relationships with partners and stakeholders.
Have strong communication and diplomacy skills to give and receive feedback, celebrate successes, and constructively confront challenges.
Have excellent time management and organizational skills.
Experience or interest in learning open source software design and data curation.
Excellent written and oral command of English (Spanish is a plus, as well as other languages).
Experience in teamwork and ability to interact with a broad range of scientific collaborators.
Ability to work independently, within a diverse, multi-location and multi-lingual team.
Flexibility to work on diverse tasks and integrate new tools and methodologies as needed.
Interdisciplinary and inspiring work environment
Quiet and spacious workspaces
Possibility of participating in internal training and academic activities of the centre
35-hour week work calendar
30 days of vacation per year
