PostDoc position: Smart Sensors Systems & Edge AI

Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Computer engineering Engineering » Electrical engineering Engineering » Other Researcher Profile Recognised Researcher (R2) Application Deadline 21 May 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? NoOffer DescriptionPostDoc position: Smart Sensors Systems & Edge AIProject backgroundD-ITET Center for Project-Based Learning is a research and teaching group at ETH Zurich. The group is looking for a talented and motivated post doctoral research willing to develop the group in both teaching and research on the topics of EdgeAI, Tiny Machine Learning, Embedded System, and Autonomous Robots and Drones. The postdoc position will be hosted in D-ITET department.Start Date: as soon as available 2026.We are looking for a highly motivated postdoctoral researcher with a strong background in electrical engineering and hardware-software co-design to join our interdisciplinary research team at D-ITET Center for Project-Based Learning.The successful candidate will contribute to research at the intersection of embedded machine learning, signal processing, and smart sensing systems, with applications in autonomous robotics, drones, and space technologies. We are particularly looking for a highly motivated researcher with a strong interest and enthusiasm for teaching topics such as embedded systems, machine learning on microcontrollers (MCUs), and FPGA-based design, and who has a genuine passion for project-based learning and mentoring both small and large student projects.Research Focus:The postdoctoral researcher will work on the design, prototyping, and validation of intelligent embedded systems that leverage novel sensors, such as:Event-based camerasOptical flow sensorsUltra-Wideband (UWB) for positioning and communicationDepth cameraLow power RadarsKey research topics include:Embedded Machine Learning (Spiking and non-spiking network) with particular emphasis on attention-based models.Neuromorphic computing and ML deployment on digital and neuromorphic processorsTinyML and EdgeAI and ultra-low-power inference for resource-constrained systemsTechniques such as quantization, pruning, knowledge distillation, and novel architectures beyond CNNsReal-time embedded signal processing for perception and decision-makingWhile the main focus is on autonomous drones, robotics, and space applications, we are open to exploring additional application domains.ProfilePhD in Electrical EngineeringComputer EngineeringDeep expertise in system-level design and the ability to develop functional hardware/software prototypes. PCB design is a plusStrong knowledge of machine learning algorithms (including spiking networks) and compression techniques for real-time processing on embedded platformsExperience in hardware-software co-design for embedded and neuromorphic platformsDemonstrated ability to publish in top-tier IEEE journals (e.g., IEEE IoT Journal, IEEE Sensors Journal, IEEE Transactions on circuits and systems) and/ortop robotics and machine learning conferences (e.g. CVPR, ICRA, IROS, NeurIPS)A strong publication track record is essential and should clearly reflect your contributions to the fieldAdditional Responsibilities:Support and contribute to teaching activities and student supervision, including PhD studentsAssist in the coordination of lab activitiesActively participate in the preparation of research proposals and grant applicationsLead and co-author high-impact publicationsWe offerA dynamic, interdisciplinary research environmentOpportunities to collaborate on cutting-edge prototypes and real-world demonstratorsA strong academic and industrial network across robotics, embedded AI, and sensing technologiesWorking, teaching and research at ETH Zurich We value diversity and sustainabilityIn 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 .Curious? So are we.If you're passionate about designing intelligent, energy-efficient embedded systems for impactful real-world applications, we look forward to receiving your application.CVMotivation letter explaining why you are the best candidatePlease note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.Questions regarding the position should be directed to Dr. Michele Magno (no applications).About ETH Zürich ETH Zurich is one of the world's leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society.Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.J-18808-Ljbffr