Aktuelle Jobs im Zusammenhang mit Scientific Researcher for Advanced Manufacturing Optimization - Zürich, Zürich - ETH
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Supply Chain Optimization Specialist
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Senior Musculoskeletal Researcher
vor 1 Monat
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IT Systems Optimization Specialist
vor 3 Wochen
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Scientific Researcher for Advanced Manufacturing Optimization
vor 1 Monat
We are seeking highly motivated and dedicated researchers to contribute to our effort in optimizing advanced manufacturing processes.
Responsibilities- Lifelong learning and adaptation using digital twins for continuous process optimization in industrial processes, employing methods such as reinforcement learning, continual learning, Bayesian optimization, and adaptive control.
- Development of digital twin-based learning and optimization methods for manufacturing processes like 3D Printing, laser cutting, precision motion, and robotic manipulation using machine learning, federated learning, and optimization techniques.
The envisioned research will be demonstrated on real-world advanced manufacturing and robotic systems in collaboration with industry partners, aiming to improve efficiency and sustainability. Your role will be to translate your own research ideas into tackling these challenges in close collaboration with our interdisciplinary team.
Your ProfileYou hold a doctoral degree in electrical, mechanical, or industrial engineering and have experience as a researcher with an active interest in manufacturing processes. You possess programming, modeling, and data analysis skills in Python, which support our ongoing software development efforts. Strong English language skills are essential for navigating our international environment.
Working ConditionsThe positions are supported by the NCCR Automation and the European Project DMaaST, offering excellent opportunities for national and international collaboration with academic and industrial partners. The estimated salary for this position is approximately CHF 80,000 per annum, commensurate with experience and qualifications.
