PhD Monitor
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Mechanical Engineering● Open⏰ 9 days leftPreview

PhD Position in Non-Contact Laser-Based Fatigue Damage Monitoring

Develop innovative laser ultrasonic systems for advanced structural damage detection using nonlinear guided waves and machine learning.

Best for:Best for mechanical engineering graduates with a strong background in wave physics, signal processing, and an interest in experimental research and machine learning applications.

Institute of Fluid Flow Machinery Polish Academy of Sciences · Gdansk, Poland · R1 · First-stage researcher
More professors at Institute of Fluid Flow Machinery Polish Academy of Sciences
Non-contact laser ultrasonic systemsNonlinear guided wavesStructural damage detectionLamb wave mode generationMachine learning for signal processingWavefield imaging
Deadline
Oct 24, 2026
9 days
Funding
Salaried
Unknown (funded by National Science Centre, Poland)
Start date
2026-11-01
Full-time
Location
Gdansk
Poland

Overview

This PhD position at the Institute of Fluid Flow Machinery, Polish Academy of Sciences, focuses on designing and analyzing non-contact laser ultrasonic systems for selective Lamb wave mode generation. The project aims to improve structural damage identification in materials by leveraging nonlinear guided waves and advanced signal processing techniques. The successful candidate will conduct experimental and computational research, develop machine learning-based imaging methods, and contribute to high-impact journal publications. The work involves both theoretical analysis and hands-on laboratory experiments in Gdansk, Poland.

PhD in Mechanical EngineeringNon-contact ultrasonic testingLaser-based damage detectionNonlinear wave analysisMachine learning in structural health monitoringLamb wave imagingExperimental fluid mechanicsPoland research opportunities

What you'll do

  • Conduct theoretical and experimental analysis of nonlinear Lamb waves induced by structural damage.
  • Develop advanced methods for full wavefield imaging using machine learning techniques.
  • Perform frequency-mixing analysis and advanced signal processing of ultrasonic data.
  • Assist in the preparation and execution of experimental setups for laser ultrasonic testing.
  • Prepare and publish journal articles based on research findings.
  • Collaborate with project team members to advance the non-contact laser-based damage monitoring system.

Requirements

Degree required: Master of Science (MSc) in Mechanical Engineering or a related field

Degree offered: PhD

Language: English; excellent proficiency required

Instruction: English

Required skills
  • Strong background in mechanical engineering or related discipline
  • Experience with wave physics and signal processing
  • Familiarity with experimental laboratory techniques
  • Basic knowledge of machine learning or data analysis methods
Nice to have
Experience with laser-based measurement systemsKnowledge of nonlinear dynamics or computational modelingProgramming skills (e.g., Python, MATLAB) for data analysis
Eligibility
  • No prior research experience required
  • Open to all nationalities

Funding & terms

Type
Salaried
Amount
Unknown (funded by National Science Centre, Poland)
Duration
3 years (standard PhD duration)
Programme
Opus 29 project no 2025/57/B/ST8/00045
National Science Centre, Poland

How to apply

Deadline: 2026-10-24 (Europe/Warsaw)

Applicants should send their CV and a cover letter explaining their interest and qualifications to pk@imp.gda.pl. The subject line must include the project title. Ensure your application is received by the deadline.

Documents required
  • Curriculum Vitae (CV)
  • Cover letter detailing research interest and qualifications
✉Apply by email

Contact

Piotr Kaczmarczyk· Project Supervisor

pk@imp.gda.pl

http://www.imp.gda.pl

PK
Prof.
Piotr Kaczmarczyk
Institute of Fluid Flow Machinery
Lab
Institute of Fluid Flow Machinery
Institute of Fluid Flow Machinery Polish Academy of Sciences
Opus 29 project no 2025/57/B/ST8/00045Poland
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