Data science has become extremely important internationally, with the majority of top-tier international research and teaching institutions investing significantly in dedicated centers and programs. In this context, the ETH Domain launches the Initiative for Data Science in Switzerland to accelerate data science through both an expansion ofeducation and research, and the provision of infrastructure for data science users across disciplines. The Initiative creates both Master courses in data science at EPFL and ETH Zurich, and the Swiss Data Science Center (SDSC), a joint venture between EPFL and ETH Zurich. The mission of the SDSC is to accelerate the adoption of data science and machine learning techniques broadly within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector.

AI/ML

Data

Education

Information Technology

Swiss Data Science Center

Swiss Data Science Center's headquarters in Zürich, Switzerland

This department focuses on analyzing and interpreting complex data to drive strategic decision-making and innovation.

Data Science Department

The Data Science Team at the Swiss Data Science Center leverages advanced data analysis and machine learning techniques to drive innovation across various academic disciplines and industries. Comprising a diverse group of data scientists and engineers, the team collaborates on research projects, develops algorithms, and provides expertise to enhance data-driven decision-making. Their efforts aim to foster the growth of data science capabilities within the ETH Domain and the broader Swiss academic and industrial landscape.

Data Science Team

The Engineering and Technical Roles team at the Swiss Data Science Center is responsible for designing and developing robust software and infrastructure to support data science initiatives. This team collaborates on creating scalable solutions, optimizing data workflows, and integrating machine learning techniques, ensuring that researchers and users across various disciplines have the tools necessary to leverage data effectively. Their expertise in systems engineering, software development, and frontend technologies enables the SDSC to enhance the overall data science ecosystem within the ETH Domain and beyond.

Engineering and Technical Roles

The Leadership Team at the Swiss Data Science Center is responsible for setting strategic direction and overseeing operations to drive the initiative's mission of integrating data science across academia and industry. This team, composed of key executives and principal data scientists, fosters collaboration, innovation, and transformation by leveraging their expertise to develop educational programs, enhance research initiatives, and provide vital infrastructure. Their leadership ensures that the center remains at the forefront of data science advancements while effectively supporting users from various disciplines.

Leadership Team

This department focuses on scientific research and advancements in various fields.

Research and Development

This department focuses on engineering and analyzing data related to biomedical research and applications.

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People (25)

Jobs (0)

Other teams

Data Science Team

Engineering and Technical Roles

Leadership Team

Research and Development

Biomedical Data

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People (25)

Jobs (0)

Other teams

Data Science Team

Engineering and Technical Roles

Leadership Team

Research and Development

Biomedical Data

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