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Develop perception and learning methods for humanoid robots in autonomous manufacturing. The doctorate combines RGB-D data, scene understanding, synthetic data, simulation-to-reality transfer and robot manipulation, with experimental validation on physical platforms. The project is hosted by the Advanced Manufacturing Lab and includes collaboration with researchers and industrial partners. Apply…

ETH AI Center offers approximately 8–12 postdoctoral fellowships for interdisciplinary AI research, with equal supervision by two principal investigators from different fields. Fellows develop their own projects spanning AI foundations and applications, join research exchanges and events, and may explore industry or entrepreneurial tracks. The appointment normally lasts two years, usually…

Fully funded doctoral positions combine supervision at ETH Zurich with a Max Planck institute or the ELLIS Institute Tübingen. Fellows have a primary research location and complete a mandatory 12-month exchange at their co-supervisor’s site, earning an ETH doctorate. Research spans machine learning, AI for science, computational biology, neuroinformatics, robotics, control and related learning…

Investigate generative AI for engineering design, combining large language models with formal design grammars. Explore how models represent, reason about and generate designs with human collaborators, with applications in products, manufacturing and structures. The fully funded salaried doctorate includes teaching support in design, product development and CAD, and begins between February and…

Develop interfaces for dexterous robot teleoperation by combining wrist or forearm surface electromyography with egocentric computer vision. Research covers signal processing, representation learning, motor-intent decoding, object and hand understanding, multimodal reasoning and real-time sensing. The role focuses on robotics and interactive systems; it has no clinical or biomedical focus.…

Zoe Weil discusses how recommendation and ranking systems can use in-session behavioral signals to model intent and optimize purchasing outcomes. The episode examines event-to-feature models, low-latency ranking infrastructure, evaluation against business outcomes, and the distinction between click relevance and useful recommendations. It also considers privacy tradeoffs in personalization and…