Claudia Fecarotti
12 months ago
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PhD on Data-Driven Inspection Management and Risk Assessment for Safety Critical Systems Eindhoven University of Technology in Netherlands
Degree Level
PhD
Field of study
Machine Learning
Funding
Available
Deadline
Expired
Country
Netherlands
University
Eindhoven University of Technology
Suggested positions
Keywords
About this position
This PhD position at Eindhoven University of Technology focuses on developing innovative, data-driven inspection management and risk assessment methodologies for safety critical systems, with a practical emphasis on vertical transport such as lifts and escalators. The project aims to modernize safety certification frameworks by leveraging AI and IoT technologies, moving beyond traditional visual inspections and reactive approaches to proactive, data-driven risk assessment and optimized inspection planning. The research will utilize operational data from lift controllers and historical event records to enhance diagnostic and predictive capabilities for individual lifts, integrating probabilistic reliability analysis to forecast current and future safety levels.
The candidate will explore novel methodologies for data collection, model transfer across heterogeneous systems, uncertainty modeling, and explainability in AI-driven safety assessments, ultimately contributing to the design of future safety certification standards. The position is embedded within the Operations, Planning, Accounting and Control Group (OPAC) at the Department of Industrial Engineering & Innovation Science, offering a collaborative and interdisciplinary research environment. The candidate will work closely with Liftinstituut, a leading European certification body, and will be expected to publish research findings in international journals and conferences.
Applicants should have a master’s degree in a relevant engineering or mathematics discipline, strong analytical and programming skills (especially in Python), and fluency in English. The position offers a four-year full-time contract with competitive salary and benefits, including pension, parental leave, training programs, and support for international candidates.
The application process requires submission of a cover letter, CV, references, transcripts, and thesis or working papers. The vacancy remains open until filled, with screening as applications are received.
Funding details
Available
What's required
Applicants must hold a master’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, Systems and Control Engineering, (Applied) Mathematics, Engineering Mathematics, or related fields. Strong analytical, mathematical, and quantitative modeling skills are required, as well as expertise in programming (especially Python) and data analysis/machine learning. Excellent verbal and written English communication skills (C1 level) are essential. Candidates should be able to work in interdisciplinary teams, collaborate with industrial partners, and be motivated to develop teaching skills and coach students.
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Professors
Professor at Eindhoven University of Technology
Netherlands
Research Interests
Artificial Intelligence
Internet Of Things
Mechanical Engineering
Reliability Engineering
Python Programming
Professor at Eindhoven University of Technology
Netherlands
Research Interests
Flight Dynamics
Internet Of Things
Reliability Engineering
Systems Engineering
Discrete Event Systems
Professor at Eindhoven University of Technology
Netherlands
Research Interests
Industrial Automation
Control System
Maintenance Engineering
Equipment Maintenance
Reliability Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.