PhD on hierarchical diagnostics of complex dynamical systems
Job Summary: This PhD position focuses on developing hierarchical diagnostic tools for complex dynamical systems, such as semiconductor equipment. The project aims to automate fault isolation with provable performance guarantees, addressing challenges in monitoring interconnected modules. It is part of a larger project on 'Holistic Design Automation for Semiconductor Manufacturing Equipment' at Eindhoven University of Technology, with collaboration opportunities with industry partners like ASML.
Responsibilities: Design innovative monitoring algorithms for complex dynamical systems; develop hierarchical diagnostic tools; apply scientific results in high-tech domains; collaborate with academic and industrial researchers; participate in teaching tasks (10-15% of time).
Qualifications and Requirements: A master’s degree in systems and control, mechanical engineering, electrical engineering, or applied mathematics; strong background in mathematical systems and control theory; affinity with mechanical engineering applications like mechatronics or robotics; knowledge of programming languages such as Matlab or Python; experience or interest in complex dynamical systems and control; ability to work independently and in a team; fluent in spoken and written English.
What the Employer Offers: Full-time employment for four years with an intermediate assessment; salary range of €3,059 to €3,881 per month; benefits including pension scheme, paid pregnancy and maternity leave, partially paid parental leave; year-end bonus of 8.3% and annual vacation pay of 8%; high-quality training programs; excellent technical infrastructure; on-campus facilities; allowance for commuting, working from home, and internet costs; staff immigration team and tax compensation scheme for international candidates.
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