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Earth systems data manager

Zürich
Festanstellung
Hotel du Parc
Inserat online seit: 25 November
Beschreibung

Earth Systems Data Manager

Center for Climate Systems Modeling (C2SM) at ETH Zurich is a joint, interdisciplinary center linking ETH Zurich with partner institutions. It provides a technology and networking platform to support the development and application of Earth system, weather, and climate modeling, data infrastructure, and impact research. The position will involve close collaboration with the Swiss National Supercomputing Centre (CSCS).

There is an ever-increasing amount and diversity of Earth observations collected from satellites, airborne instruments, and in-situ measurement networks. Harnessing these data effectively is essential for advancing our understanding of the Earth system.

To address this challenge, a robust data management framework is being developed to make rapidly growing Earth‑system datasets accessible and usable for the scientific community.

The Earth Systems Data Manager will play a key role in shaping this framework, focusing on identifying and evaluating satellite and observational datasets relevant to research across disciplines, curating and documenting data collections to ensure quality and scientific value, and establishing metadata and access standards to support data discovery and reproducibility.


Responsibilities

* Identify and evaluate Earth system observations relevant to interdisciplinary research needs
* Curate data collections by assessing quality, completeness, and scientific value
* Create comprehensive metadata and documentation to support data discovery and use
* Develop a web‑based platform to provide users an overview of the available data
* Coordinate with researchers in climate science, environmental monitoring, data science, and related fields
* Collaborate with a dynamic and international team of researchers and developers to operate and advance the research platform
* Support interdisciplinary research projects that require multiple data sources
* Work with high‑performance computing platforms for data storage and analysis


Qualifications

* Degree in Earth sciences, data science, computer science, or a related field
* Knowledge of satellite data formats and remote sensing
* Experience with large datasets (petabyte‑scale), data management and data quality control
* Strong programming skills in Python/R/Julia and use of scientific data libraries (xarray, netCDF4, HDF5, Zarr) and workflow automation on HPC systems
* Excellent communication skills for working across different scientific disciplines
* Beneficial: experience working in an interdisciplinary environment, PhD in remote sensing or related field, experience leading projects, user support, FAIR data principles (Findable, Accessible, Interoperable, Reusable)


Benefits

In this role, you will work at the cutting‑edge intersection of Earth system modelling, high‑performance computing and data‑driven science. You will join the Center for Climate Systems Modeling (C2SM), a vibrant community that connects weather and climate researchers, computational scientists, and data experts across ETH Zürich and its partner institutions. We provide an intellectually stimulating environment with access to state‑of‑the‑art HPC systems, strong mentorship and opportunities for professional development in a collaborative, forward‑looking research ecosystem.


Application Process

We look forward to receiving your online application with the following documents: CV, Letter of motivation.

Further information about C2SM can be found on our website. For further information, please contact Dr. Christina Schnadt Poberaj (phone +41 44 633 8458, email christina.schnadt@c2sm.ethz.ch) or Prof. Andreas Prein (phone +41 44 63 23029, email andreas.prein@env.ethz.ch). Applications must be submitted exclusively through our online application portal; email or postal applications will not be considered.

Work location: 8092 Zürich ETH‑Zentrum (ZH)

Workload: 80% – 100%

Employment start: Immediately

Employment duration: 25.11.2026

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