Robotics Researcher
vor 3 Wochen
The Industrial Robotics Group at ETH Zürich (IRZ) is a rapidly growing research team focused on pressing challenges in robot-based manufacturing. We utilize advanced computational methods, machine learning, modeling, and custom hardware to test our solutions in various real-world projects with industry.
We foster a culture of continuous improvement, transparency, and open communication, 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 versatile researchers to be at the forefront of robotics. You'll bridge theoretical knowledge with practical applications, engage with both academia and industry, and shape the future of manufacturing.
Key Responsibilities- Drive and lead pioneering research projects.
- 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 someone who is exceptionally well-organized and detail-oriented, resilient, and excels in tackling complex challenges in a fast-paced research environment.
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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