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Claudia Fecarotti

12 months ago

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 flag

Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Machine Learning
Mechanical Engineering
Mathematics
Risk Assessment
Artificial Intelligence
Mathematical Modeling
Industrial Engineering
Python Programming
Reliability Engineering
Internet Of Things
Logistics Management
Workplace Safety
Data-driven Modeling
Building Inspection

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

University Name
Country flag

Netherlands

Research Interests

Artificial Intelligence

Internet Of Things

Mechanical Engineering

Reliability Engineering

Python Programming

Professor at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Flight Dynamics

Internet Of Things

Reliability Engineering

Systems Engineering

Discrete Event Systems

Professor at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Industrial Automation

Control System

Maintenance Engineering

Equipment Maintenance

Reliability Engineering