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Theo Hofman

1 week ago

Six PhD Positions in Design Automation, Diagnostics, and AI for Semiconductor Systems Eindhoven University of Technology in Netherlands

I am recruiting six PhD students in design automation, diagnostics, and AI for semiconductor systems at Eindhoven University of Technology.

Eindhoven University of Technology

Netherlands

email-of-the@publisher.com

Date not provided

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Data Mining
Optimal Control
Knowledge Representation
Silicon Technology
Optimisation
Technical Engineering
Design Automation
Physiological Monitoring
System Architecture
Cyber-physical System
Machine learning

Description

Eindhoven University of Technology is offering six PhD positions focused on advancing design automation, diagnostics, and AI applications for complex semiconductor systems, particularly lithography machines. These positions span the departments of Mechanical Engineering, Electrical Engineering, and Mathematics and Computer Science, and are designed to address the limitations of current domain-specific automation solutions by developing holistic, system-level approaches. The research topics include automated computational design synthesis of system topologies, scenario-based compositional system-level performance engineering, timing-aware distributed supervisory controller synthesis, AI-driven legacy system explanation and refactoring, data mining for diagnostics using knowledge graphs and foundation models, and automating health monitoring in semiconductor equipment. Each project is supervised by leading academics and, in some cases, involves collaboration with industrial partners such as ASML AI Research. Candidates will work on cutting-edge challenges such as system architecture exploration, model-based performance engineering, supervisory control synthesis, generative AI for software maintenance, advanced diagnostic frameworks, and predictive monitoring technologies. Applicants should have strong backgrounds in relevant fields, with specific skills required for each position, such as software engineering, formal methods, control theory, and AI. The positions offer the opportunity to contribute to innovation in the Brainport region and beyond, working in interdisciplinary teams and with internationally recognized industrial partners. Funding details are not specified in the announcement. Interested candidates should apply online via the AcademicTransfer link, submitting their CV, motivation letter, and transcripts, and indicating their preferred PhD project(s).

Funding

Available

How to apply

Apply via the provided AcademicTransfer link. Prepare your CV, motivation letter, and transcripts. Select the specific PhD position(s) of interest and submit your application online. Contact the university for further details if needed.

Requirements

Applicants should hold a relevant master's degree (or equivalent) in Mechanical Engineering, Electrical Engineering, Computer Science, Data Science, Software Engineering, Mathematics, or a closely related field. Specific positions require strong backgrounds in software engineering, programming, cyber-physical systems modelling, discrete-event systems, formal methods, generative AI, visualization techniques, mathematical control theory, hybrid dynamical systems, observer design, learning techniques, and optimization. For some positions, prior experience with DSL development, program analysis, and knowledge graphs is desirable. Candidates should be highly motivated and able to work in interdisciplinary teams.

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