Phd Candidate – Physically Based Machine Learning Models For Structural Health Monitoring Of Ae...

Detalles de la oferta

Organisation/Company: Fundación IMDEA MaterialesResearch Field: EngineeringResearcher Profile: First Stage Researcher (R1)Country: SpainApplication Deadline: 31 Jan 2025 - 00:00 (UTC)Type of Contract: TemporaryJob Status: Full-timeIs the job funded through the EU Research Framework Programme? Not funded by a EU programmeIs the Job related to staff position within a Research Infrastructure? NoOffer Description The candidate's research activities will encompass multiple critical components ranging from the development of high-fidelity simulation models, with rigorous validation against physical industrial demonstrators and the development of the AI tools for the analysis. The project will strongly emphasise the development of physics-based machine learning techniques to achieve a novel approach to structural health monitoring (SHM). By embedding machine learning models grounded in physical principles, 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.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. Fluent English (oral and written) is required.Languages: ENGLISH Level ExcellentResearch Field: EngineeringYears of Research Experience: NoneAdditional Information Applications are processed upon reception. The position might be closed once ten working days have passed since publication, so we encourage early application.The working language of the Institute is English. Full command of the English language is required in all positions.WHAT YOU WILL FIND AT IMDEA:Stimulating environment where you can grow professionally.IMDEA Materials 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, IMDEA Materials Institute is committed to training the Institute's scientists and staff in "soft" or transversal skills.Meet some of our alumni to see what it is like to work with us.Additional comments:3.2 years contract with 1 year evaluation period.Full-time contract, including social security coverage.The post will remain active and open until filled.Expected start date: as soon as a viable candidate is found.#J-18808-Ljbffr


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