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Eindhoven University of Technology, a leading research institution in the Netherlands, is offering six PhD positions focused on advancing design automation and diagnostics in the semiconductor industry. The university is renowned for its collaborative culture and strong ties to high-tech industries, particularly in the Brainport region. These positions span the departments of Mechanical Engineering, Electrical Engineering, and Mathematics and Computer Science, and are aimed at solving complex, multidisciplinary challenges in system-level modelling, analysis, design, and synthesis for semiconductor equipment, especially lithography machines. The research topics include automated computational design synthesis of system topologies, scenario-based 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 involves collaboration with industry partners such as ASML AI Research. Candidates will work in a vibrant, interdisciplinary environment, receive comprehensive training, and benefit from excellent employment conditions including a four-year contract, competitive salary, bonuses, pension, paid leave, and support for international staff. Applicants must have a master’s degree in a relevant field and demonstrate strong analytical, problem-solving, and teamwork skills. Specific expertise in software engineering, programming, cyber-physical systems, formal methods, AI, data mining, control theory, and related areas is required for certain positions. Applications are accepted online until November 30, 2025, and should include a cover letter, CV, and references. The university provides a supportive infrastructure, professional development opportunities, and a dynamic campus environment. For more information, candidates are encouraged to contact the listed supervisors or HR services.

This postdoctoral position at Eindhoven University of Technology focuses on the estimation and control of large-scale dynamical systems to enhance the resilience of future energy systems, particularly those integrating up to 100% renewable energy sources. The successful candidate will join the Dynamics and Control section within the Department of Mechanical Engineering, working under the supervision of Dr. Michelle Chong on the EU-wide ProRES project. The research aims to develop resource-aware control and state/parameter estimation algorithms capable of managing corrupted measurement data, communication constraints, and modeling uncertainties in energy systems. The project addresses vulnerabilities in energy networks, such as extreme weather, congestion, local voltage issues, and cyber-attacks, with the goal of improving flexibility and stability. The position offers full-time employment for two years, a competitive salary (scale 10), bonuses, and various allowances. The university provides a dynamic, interdisciplinary, and international research environment, with access to high-quality training, technical infrastructure, and support for international staff. Applicants should have a PhD in systems and control, strong expertise in nonlinear and hybrid dynamical systems, control, and optimization, and proficiency in Matlab or Python. Experience in the energy domain is preferred but not required. The position is open to candidates ready to start from January 2026 or soon after. Applications must be submitted online and include a CV, publication list, references, and a statement of interest. Screening will continue until the position is filled.

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).