PhD Researcher in Control for Advanced Manufacturing
vor 3 Wochen
Job Opportunity at ETH
We are seeking a highly motivated and dedicated doctoral student to contribute to our research effort in control for advanced manufacturing. The envisioned research will address the following key areas:
Online Learning-based Control
The successful candidate will work on developing online learning-based control methods for advanced manufacturing systems, leveraging techniques such as Reinforcement Learning, Online Convex Optimization, and Iterative Learning Control.
System-level Hierarchical Controller Optimization
The researcher will focus on optimizing system-level hierarchical controllers for industrial systems, utilizing bilevel, on-line, and differentiable optimization methods.
Control and Task Planning
The candidate will work on control and task planning for advanced manufacturing using domain knowledge and expert feedback, employing methods from domain adaptation, transfer learning, and large-language models.
Digital Twin-based Learning and Optimization
The successful researcher will develop digital twin-based learning and optimization methods for manufacturing processes such as 3D Printing, laser cutting, precision motion, and robotic manipulation, utilizing machine learning, federated learning, and optimization techniques.
Key Responsibilities
The doctoral student will be responsible for:
Translating research ideas into tangible projects, in close collaboration with our interdisciplinary team.
Supporting master students in their research projects.
Publishing research findings in scientific journals.
Participating in conferences and workshops.
Requirements
The ideal candidate will have a master's degree in electrical, mechanical, or industrial engineering, with strong programming, modeling, and data analysis skills in Python and machine learning/optimization libraries. Excellent spoken and written English skills are also essential for navigating our international environment.
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Zürich, Zürich, Schweiz ETH VollzeitJob OpportunityWe are seeking a highly motivated and dedicated PhD student to contribute to our research effort in control and optimization for advanced manufacturing. The successful candidate will work on developing novel control and optimization methods for industrial systems, with a focus on online learning-based control, system-level hierarchical...
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PhD Researcher in Control for Advanced Manufacturing
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Zürich, Zürich, Schweiz ETH VollzeitJob OpportunityWe are seeking a highly motivated and dedicated PhD student to contribute to our research in advanced manufacturing control.The successful candidate will work on developing novel control strategies for industrial systems, leveraging methods from machine learning, optimization, and control theory. The research will focus on the following...
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