Spatial data analyst

at  International Institute for Applied Systems Analysis IIASA

REQUIREMENTS

• Master’s degree (or equivalent) in a relevant quantitative field. Suitable fields include but are not limited to: Geography, with a focus on Geographic Information Systems (GIS), Environmental Sciences, with a concentration in spatial analysis, Computer Science, with expertise in spatial data and analysis, Statistics, with experience in spatial statistics, Economics, with a specialization in environmental economics and data analysis.
• Proficiency in R, particularly libraries and packages focused on spatial analysis (e.g., GDAL, raster, sf). Knowledge of python and experience with cluster computing is an asset.
• Practical experience with GIS software (e.g., QGIS, ArcGIS) for spatial data processing and analysis.
• A genuine interest in land use, environmental science, and sustainability, with familiarity with relevant datasets considered a plus.
• Experience in managing and processing large land-use and satellite datasets, with an understanding of database architecture and design beneficial for model support.
• Knowledge of statistical methods and their application in analyzing spatial data.
• Ability to develop and implement procedures for ensuring the quality of data sources and databases.
• Excellent command of English, both written and spoken, with the ability to communicate complex data insights to a non-specialist audience.
• Capability to work effectively both independently and as part of a multi-disciplinary team.
• IIASA offers an interdisciplinary and international workplace, and the possibility to interact with researchers of different nationalities, with strong ties to a world-wide network of research institutions engaged in environmental systems research. The successful candidate must be able to work in, and have respect for, an intercultural environment, and IIASA core values.

MAIN TASKS AND RESPONSIBILITIES

• Collect, process, and manage large spatial datasets for model integration.
• Design and develop databases supporting GLOBIOM, G4M, and downscalR models.
• Implement quality control procedures for data sources and databases.
• Contribute to automated tests and routines for efficient data sharing.
• Support the analysis and interpretation of data using statistical methods.
• In line with the team spirit that prevails at IIASA, the incumbent may occasionally work on other tasks assigned by their superiors, that might not be directly related to this appointment but where the post holder has relevant experience and skills, and/or a shortage of immediate personnel capabilities requires such.

IN ORDER TO FOR THIS OPPORTUNITY, YOU WILL NEED TO PROVIDE THE FOLLOWING DOCUMENTS:

• A cover letter outlining your motivation for and fit to the position
• A detailed Curriculum Vitae
• The names, addresses (including e-mail), and telephone numbers of two work-related reference givers.