The strives to grow into an internationally recognised research hub for a sustainable and equitable world. At the core is the recognition that global environmental disruptions such as climate change, biodiversity loss, and resource depletion are closely linked with societal systems. Leading innovative data management strategies for LCSES, including acquisition from international data providers and public resources
Creating and overseeing data storage solutions, ensuring internal and external accessibility of data products
Developing LCSES's geodata infrastructure, socio-environmental data cube, including establishing a robust GitLab environment
Supervising the development of new data products and user-friendly web applications
Serving as the central point of contact for data-related inquiries within LCSES
Coordinating, supervising, and enhancing the capabilities of the Data Science team.
Represent the Data Science Team on the LCSES management board
PhD in Data Science, Environmental Science, or related disciplines
Proven expertise in environmental science and data-driven research as PostDoc
Experience in acquiring third-party funding in the relevant fields of data science
Enthusiasm for applying advanced data science methods, including AI-based approaches to environmental challenges and scientific evidence synthesis
Proficiency in agile methodologies for team management and project execution
Knowledge of geospatial data infrastructure and data cube technologies is an asset
Excellent communication and interpersonal skills
Fluency in English; French or German is considered an asset
Multilingual and international character. Please apply ONLINE formally through the HR system. All qualified individuals are encouraged to apply. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
Work Hours: Full Time 40.0 Hours per Week
Internal Title: Research scientist