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Institute of Fluid Flow Machinery, Polish Academy of Sciences

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PhD student: Non-contact laser-based system for fatigue damage monitoring Institute of Fluid Flow Machinery, Polish Academy of Sciences in Poland

Degree Level

PhD

Field of study

Signal Processing

Funding

Available

Deadline

Nov 30, 2026

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Country

Poland

University

Institute of Fluid Flow Machinery, Polish Academy of Sciences

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Keywords

Signal Processing
Mechanical Engineering
Non-destructive Testing
ML

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About this position

This PhD project focuses on developing a non-contact laser ultrasonic system for narrowband, selective Lamb wave mode generation and using it for fatigue damage monitoring in structures. The research explores laser-based wave excitation patterns such as Archimedean spirals and concentric rings, with the aim of improving damage identification compared with conventional point-wise laser excitation and other contact ultrasonic approaches.

The doctoral researcher will work on the analysis of nonlinear Lamb waves induced by damage, develop full wavefield imaging methods for damage detection, and contribute to frequency-mixing analysis and signal processing. The project also includes the use of machine learning approaches for damage detection, as well as assistance with experimental setup, measurements, and preparation of journal papers.

The student will be based in the Mechanics of Intelligent Structures Department (MISD) at the Institute of Fluid Flow Machinery, Polish Academy of Sciences in Gdansk. The advert describes an energetic, curiosity-driven, and culturally diverse team working in a research environment centred on mechanics of intelligent structures, guided waves, and experimental structural health monitoring.

Funding details

Available

What's required

MSc degree or equivalent in a relevant engineering field (mechanics, mathematics, physics, mechanical engineering, aerospace engineering or related field), preferably an MSc in technical sciences with mechanical engineering; proficiency in written and oral English at B2 level or higher; mobility and flexibility for conferences up to twice a year; knowledge of signal processing methods is especially sought; programming skills and ability to write code in MATLAB are required/preferred; additional assets include certificates or experience in guided wave propagation phenomena, signal processing, and machine learning; scientific track record, prizes, and distinctions will also be assessed. The candidate must be enrolled as a doctoral student or a participant in a doctoral programme when the project starts.

How to apply

Email the application to Pawel Kudela at [email protected] with the subject line “Laser project PhD candidate”. Include a CV, grade transcripts from graduate studies, a copy of the diploma, a list of publications if any, and any other attachments requested in the advert. Selected candidates will be invited to online interviews.

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