As part ofGrid2050and NCCR Automation,we arebuildingahigh-performance, secure, and fault-tolerant datainfrastructureto 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 automaticcontrol, datamanagement, 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 meetsrequirements 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. Job description Infrastructure Development:Work in containerd environments,ensure the security, availability, scalability and accountability of our server. CommunicationPipeline:Enhance and extenddata and command transmissionintrastructure between ETH,utilities, andenergymanagementsystems—ensuring they’re reliable (think “backpressure handling” and “exactly-once” semantics)and maintainable. Databases:Work with time-seriesdatabsedesigned for high-volume ingestion and low-latency queries, and make sure they are scalable and realible under extreme scenarios. Reliability & Recovery:Implement replication, backup, and disaster recovery strategies—making sure the system survives faults without losing data. Front-end Development:Buildvisualizationdashboards (Grafana) and remote experimentation APIs to give researchers live insight into grid behavior and improve user experiences on our platform. Profile You are an ETHstudent enrolled in Computer Science, Electrical Engineering, Power Engineering, or related fields. You are passionate about data engineering, systems development, and energy-related topics. You are fluent in English.German is a plus but not mandatory. You are available to work approximately8-15hours per week (i.e.oneor twodaysper week). You have strong expertisein Git, Python, and Linux development environments. Ideally, you have worked withone or some of the following fields: RabbitMQ,Grafana, SQL,Docker, and front-end development. You pay strong attention to details, and you work responsibly. We offer Hands-on experience withreal-world data infrasturcture, and distributed system design. Working alongside leading academics, industry partners, and a collaborative research community. Rare chance to see theory play out on a real part of our critical infrastructure. Flexible working conditions, state-of-the-art facilities, and remuneration according to ETHstudentassistant salary guidelinesStundenlohn – Staffnet | ETH Zürich. Working, teaching and research at ETH Zurich We value diversity and sustainability 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. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting-edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow. #J-18808-Ljbffr
Student Assistant: Future Data Infrastructure of Smart Grids in Zürich Arbeitgeber: ETH Zurich
Das Max Planck ETH Center for Learning Systems (CLS) bietet eine herausragende Arbeitsumgebung für Doktoranden, die an der Schnittstelle von Wissenschaft und Technologie forschen möchten. Mit einer einzigartigen Kombination aus exzellenter Betreuung durch ETH Zürich und den Max-Planck-Instituten sowie der Möglichkeit eines 12-monatigen Austauschs zwischen verschiedenen Standorten, fördert das CLS nicht nur die akademische Exzellenz, sondern auch die persönliche und berufliche Entwicklung seiner Fellows. Die vollständig finanzierten Stipendien und die internationale Ausrichtung des Programms schaffen ein inspirierendes Umfeld für innovative Forschung und Zusammenarbeit.
