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ETH Zurich is seeking a reliable student assistant to design and develop data infrastructure as part of Grid2050 and NCCR Automation. You will build scalable, secure systems for smart grid research, focusing on reliability, performance, and maintainability.
The role involves working 8–15 hours per week with flexible start dates. You will gain hands-on experience with real-world data infrastructure and collaborate with leading academics and industry partners.
As part of Grid2050 and NCCR Automation, we are building a high-performance, secure, and fault-tolerant data infrastructure to power cutting-edge energy research. Grid2050 connects real-world electricity grid measurements, smart meter data, and actuator control into a single ecosystem for experimentation at scale.
Project background
The future smart grid features the widespread integration of distributed energy resources, introducing new challenges to infrastructure in areas such as automatic control, data management, and communication. The Internet of Things, big data technologies, and operational technology must be reliably and securely integrated to ensure smart grid operations.
We are seeking a reliable and highly motivated student assistant to support our research. In this role, you will design and develop data infrastructure to tackle real-world challenges in smart grid research, ensuring our infrastructure meets requirements in the future-such as scalability under load, resilience to failure, and adaptability to change.
The starting date is flexible but an early start is preferred.
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future.
Questions regarding the position should be directed to Hanshuo Wu (wu@eeh.ee.ethz.ch) (no applications).
Further information about the research group can be found on our Website.
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.