Jobid=622124088300546792 (0.0278)
Job Description
As a PhD candidate at TU Delft, you will investigate how advanced vibration measurements and interpretable AI models can improve the early detection of structural damage in composite materials. Your research will focus on combining high‑precision Quantum Photonic Vibrometry with machine learning techniques capable of identifying subtle changes in structural behaviour.
You will design and conduct vibration experiments using QPV sensing systems and analyse complex measurement data to identify signatures of micro‑scale damage. In parallel, you will develop advanced and interpretable AI models for damage detection and condition monitoring, with a strong focus on robustness, explainability, and practical applicability.
Part of the project involves deploying lightweight AI models on reservoir computing devices and edge AI hardware, enabling efficient and scalable real‑time monitoring solutions. You will collaborate closely with academic researchers and industrial partners, contributing to both fundamental research and application‑driven innovation.
Job Requirements
- A Master’s degree in engineering, physics, applied mathematics, or a related field.
- Affinity with vibration measurement and analysis, AI or machine learning, and/or signal processing.
- Experience with programming languages such as Python, MATLAB, or similar tools.
- An analytical and creative mindset with an interest in developing innovative methods.
- Strong problem‑solving skills and the ability to work independently within a research project.
- Excellent English communication skills, both written and spoken.
- Interest in working in a multidisciplinary and international research environment.
- Motivation to contribute to research with societal and industrial impact in aerospace and renewable energy.
Conditions of Employment
Doctoral candidates will be offered a 4‑year period of employment in principle, structured as two contracts: an initial 1.5‑year contract with an official go/no‑go progress assessment within 15 months, followed by an additional contract for the remaining 2.5 years assuming performance requirements are met.
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