Robotics Researcher
vor 4 Wochen
The Industrial Robotics Group at ETH Zürich (IRZ) is a leading research team focused on developing innovative solutions for robot-based manufacturing. We utilize advanced computational methods, machine learning, and custom hardware to drive our research forward.
We foster a culture of continuous improvement, transparency, and collaboration, where facts, learnings, and results are of utmost importance. Our well-equipped laboratory enables us to quickly bring our ideas to the test.
We are seeking a versatile researcher to join our team and contribute to the development of essential technologies and methods needed to create fully integrated, autonomous, and highly reliable systems for manufacturing.
Key Responsibilities- Drive and lead pioneering research projects in robotics and automation.
- Apply your expertise in industry projects requiring novel methods and algorithms.
- Contribute to the development of a new lecture at ETH Zürich.
- Regularly publish in top-tier journals.
- Mentor and lead junior researchers, engineers, and students.
PhD from a leading university in robotics or control.
- An extensive portfolio of influential publications pertinent to our field.
- Proficiency in Python and C++.
- Exceptional problem-solving skills and a hands-on approach to research.
- Possibility to define your own research agenda.
- Exceptional freedom in job execution, including working hours, style, and location.
- Mentorship and training to foster your professional growth, both in research and engineering.
- Support from highly motivated, competent, and driven group internal engineers.
- Permanent positions available.
We are looking for a highly motivated and organized individual who is well-versed in all domains of robotics. If you excel in tackling complex challenges in a fast-paced research environment, we encourage you to apply.
The Industrial Robotics Lab Zürich (IRZ) is a research group within the Advanced Manufacturing Lab (am|z) at ETH Zurich, and inspire AG.
With broad expertise in both computer science and mechanical and process engineering, we are in a unique position to tackle fundamental problems within robot-based manufacturing with multidisciplinary and data-driven approaches.
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