3 machine learning jobs found in Zürich

Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), with around 600 employees, is part of the ETH Domain. It focuses on the sustainable use and protection of the environment and on the responsible management of natural hazards. The Forest Resources and Forest Management research unit records and analyzes changes in the landscape and forest. In the   Forest-LENS project,   we are investigating drought symptoms in beech stands. This is based on an existing Sentinel-2 and machine learning-based processing pipeline for recording such symptoms, which is being expanded spatially and methodologically. A particular focus is on the influence of forest structure on the drought resilience of beech trees. To this end, we combine satellite-based drought indicators with forest structure information derived from LiDAR data, as well as other environmental and site data. The position is...

Data Analytics Consultant (w/m/x) Avanade is a leading provider of digital and cloud services, business solutions, and design-driven applications. As a joint venture between Microsoft and Accenture, we are the largest consulting firm for Microsoft technologies. We support our clients in cloud, modern workplace, business applications, data & AI, and security, and we value our #PeopleFirst mentality. Become part of our team Between data analysts, data engineers, and IoT and AI experts, there are many overlaps but also many unique characteristics. We see ourselves as a melting pot, bringing these areas of expertise together in one team and keeping each other up-to-date with innovative developments. Your tasks: Support in the design and implementation of data platform architectures in Azure and on-premises, as well as in data integration. Collaboration with customers and team: Remote or on-site in all phases from requirements analysis to...

Gravis Robotics is a startup turning heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control enables a single operator to safely manage a fleet of earthmoving machines in a gamified environment. With over a decade of academic experience at the cutting edge of large-scale robotics, our team is rapidly translating this expertise into real-world deployments with industry leaders in a trillion-dollar market. About the Role At Gravis, we operate at the intersection of hardware, software, and real-world deployment. Our Rooftop Autonomous Control Kit (RACK) integrates sensing, compute, communication, and networking into a manufacturer-agnostic solution deployable across a wide range of construction machines. As Cybersecurity Engineer at Gravis, you will own our digital security development across the full product lifecycle; from the embedded software stack inside the RACK hardware to...