Leading Researcher in Physically Based Machine Learning Models For Structural Health Monitoring

hace 2 semanas


Madrid, Madrid, España Fundación Imdea Materiales A tiempo completo

Company Overview

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Fundación IMDEA Materiales is a leading research institute dedicated to advancing the field of materials science. Our team of experts works collaboratively to drive innovation and tackle complex challenges.

Salary

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The selected candidate will be offered a competitive salary, estimated to be around €35,000 - €45,000 per annum, taking into account the Spanish cost of living and the standard full-time contract including social security coverage.

Job Description

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We are seeking a highly skilled PhD Candidate to join our team as a researcher in physically based machine learning models for structural health monitoring. The successful candidate will work on developing high-fidelity simulation models, AI tools for analysis, and physics-based machine learning techniques to achieve a novel approach to structural health monitoring (SHM).

The project aims to make the digital twin a robust real-time monitoring tool capable of adapting to variations in material properties and process parameters. The ultimate goal is to enable automated health assessments of composite structures throughout their lifecycle, supporting predictive maintenance and extending the longevity of structural components in critical industries.

Required Skills and Qualifications

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Candidates should hold an MSc degree in Materials Science, Mechanical Engineering, Data Science, Industrial Math, or related disciplines with excellent academic credentials and a solid commitment to developing an academic career in an international and multidisciplinary environment.

Demonstrated experience in Machine Learning/Data Analytics and numerical simulation by FEM, including solid mechanics and programming (Python, etc.), will be valued. Fluency in English (oral and written) is required.

Benefits

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We offer a stimulating environment where you can grow professionally. Our Institute is committed to equal opportunities, diversity, and the promotion of a healthy work environment and work-life balance. Female applicants are encouraged to apply to our research and technical positions.

Besides on-the-job technical training, we are committed to training our scientists and staff in 'soft' or transversal skills. Meet some of our alumni to see what it's like to work with us.

Others

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The post will remain active and open until filled. We encourage early application. The expected start date is as soon as a viable candidate is found.



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