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The Advanced Manufacturing Lab (am|z) at ETH Zurich, led by Prof. Markus Bambach, is seeking a highly motivated Doctoral Researcher to conduct research in humanoid robotics, 3D perception, and embodied artificial intelligence for autonomous manufacturing. The position is embedded in an interdisciplinary research project aiming to enable humanoid robots to perceive, understand, and interact with complex manufacturing environments using novel RGB-D sensing technologies.

Tasks

  • Conduct independent scientific research in humanoid robotics, 3D perception, and learning-based robotic systems
  • Develop and evaluate novel algorithms for RGB-D-based object detection, semantic segmentation, and 3D scene understanding
  • Design and implement realistic robotic simulation environments and synthetic data generation pipelines for manufacturing applications
  • Develop methods for improving the transfer of perception and manipulation capabilities from simulation to real-world robotic systems
  • Design and implement data acquisition, annotation, processing, and evaluation workflows for synthetic and real RGB-D datasets
  • Integrate perception algorithms with robotic manipulation, motion planning, and control frameworks
  • Investigate learning-based approaches to autonomous robotic decision-making, with opportunities to explore multi-agent coordination and language-guided manipulation
  • Implement, test, and validate developed methods on physical robotic and humanoid platforms
  • Plan and conduct scientific experiments, establish quantitative benchmarks, and systematically evaluate the performance of developed methods
  • Develop reproducible research software and contribute to shared software frameworks and experimental infrastructure
  • Publish research findings in leading international robotics, computer vision, and machine learning conferences and journals
  • Collaborate with researchers and industrial partners involved in the project and contribute to the supervision of student research projects

Requirements

  • A Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, Artificial Intelligence, or a closely related field
  • A strong foundation in robotics, computer vision, machine learning, or related computational methods
  • Excellent programming skills, particularly in Python and preferably also C++
  • Experience with machine learning frameworks, such as PyTorch, and the development, training, or evaluation of learning-based models
  • A solid understanding of robotics fundamentals, including coordinate transformations, kinematics, motion planning, or robotic manipulation
  • Practical experience in at least one relevant area, such as 3D computer vision, robotic perception, robotics simulation, or robot learning
  • Experience with scientific experimentation, quantitative evaluation, and the analysis of experimental results
  • Familiarity with Linux-based development environments, Git, and collaborative software development practices
  • The ability to independently investigate challenging research questions, develop new ideas, and systematically evaluate potential solutions
  • A strong motivation to pursue doctoral research and contribute to scientific publications
  • Fluent English, both written and spoken
  • Knowledge of Korean and/or German is an advantage
  • Experience with RGB-D cameras, depth sensing, point clouds, 3D reconstruction, or semantic scene understanding (advantage)
  • Familiarity with robotics frameworks such as ROS/ROS 2 (advantage)
  • Experience with robotics simulation platforms such as NVIDIA Isaac Sim, MuJoCo, Gazebo, or similar environments (advantage)
  • Experience with synthetic data generation, dataset annotation, or simulation-to-real transfer (advantage)
  • Knowledge of reinforcement learning, imitation learning, or learning-based robotic manipulation (advantage)
  • Familiarity with vision-language models (VLMs), large language models (LLMs), or language-conditioned robotic policies (advantage)
  • Experience with multi-robot systems, humanoid robotics, or collaborative manipulation (advantage)
  • Hands-on experience integrating sensors, programming robots, or conducting experiments on physical robotic platforms (advantage)
  • Familiarity with Docker, automated testing, CI/CD pipelines, or reproducible machine learning workflows (advantage)
  • Previous research experience demonstrated through a Master's thesis, research projects, publications, or contributions to scientific conferences (advantage)

Benefits

  • You will join an interdisciplinary research environment combining robotics, artificial intelligence, computer vision, and advanced manufacturing
  • The opportunity to pursue a Doctorate at ETH Zurich within a collaborative international research project, subject to fulfilment of ETH Zurich's doctoral admission requirements
  • The opportunity to conduct original scientific research at the intersection of humanoid robotics, embodied AI, 3D perception, and autonomous manufacturing
  • A high degree of scientific independence, with opportunities to develop research ideas, investigate novel methods, and shape the direction of your doctoral research
  • Access to robotic research infrastructure, including physical robotic platforms, sensing technologies, and experimental manufacturing environments
  • Close collaboration with researchers from complementary scientific disciplines and industrial partners developing advanced sensing and robotic technologies
  • Opportunities to publish in leading international conferences and journals and participate in the international robotics research community
  • A stimulating academic environment at ETH Zurich, with opportunities for scientific exchange, professional development, and collaboration
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Über uns
Die ETH Zürich ist eine technisch-naturwissenschaftliche Hochschule des Bundes mit Sitz in Zürich. Wir betreiben Lehre, Forschung und Wissenstransfer in Bereichen wie Ingenieurwissenschaften, Naturwissenschaften, Architektur, Mathematik, Informatik, Management sowie Sozial- und Geisteswissenschaften. Unsere Ausbildung umfasst Bachelor-, Master-, Doktorats- und Weiterbildungsangebote und ist eng mit internationaler Spitzenforschung verbunden. Als Teil des ETH-Bereichs entwickeln wir wissenschaftliche Grundlagen, Technologien und Lösungen für Gesellschaft, Wirtschaft und globale Herausforderungen.
Das Team

This Doctoral Researcher position is part of a collaborative research project with close collaboration between researchers from complementary scientific disciplines and industrial partners developing advanced sensing and robotic technologies.

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