Research engineer for X-ray Computed Tomography (XCT) analysis focused on data post-processing of metal additive manufacturing samples

Job title:

Research engineer for X-ray Computed Tomography (XCT) analysis focused on data post-processing of metal additive manufacturing samples

Company:

Job description

Offer DescriptionThe candidate will participate in an industrial research project for the aeronautical sector aiming at exploiting the benefits of X-ray computed tomography (XCT) applied to the characterization of additive manufactured (AM) complex jet engine components with demanding thermomechanical properties. The project required the analysis of XCT data and the development of automatic data processing methodologies to accelerate data treatment (reconstruction of volumes, noise reduction, segmentation, analysis).XCT is one of the most powerful techniques for defect assessments of additive manufacturing materials as it comprises a high resolution for the typical defect types in AM, a large volume of inspection which allows detecting thousands of defects at once, provides three-dimensional information of the inspected material and it is non-destructive. Thus, the main activity of the candidate will be the preparation of samples of our partners, the measurement by XCT of these samples under optimal experimental values, image post-processing, and development of automated routines for data and image treatment and image quantification. Results will be presented in periodical meetings to industrial partners.The candidate is expected to have a sufficient background in programming.RequirementsSpecific RequirementsThe position is most appropriate for engineers and/or recent master’s graduates (or soon to graduate) in fields related to materials science or related disciplines. The applicant should have excellent academic credentials, and interest in working on industrial research.Experience or knowledge in XCT images is highly valuable. Close interactions with industrial stakeholders are expected; therefore, the ability to work as part of a team is essential.Experience using ImageJ (or Fiji) and/or image processing software is encouraged. Programming skills will be considered, too.Full proficiency in English, oral and written, is mandatory.Initial contract for 1 year with extension to +3 years.Interested candidates should submit their Curriculum Vitae, a brief cover letter addressing their motivation, as well as academic credentials.Languages ENGLISH Level ExcellentResearch Field Engineering Years of Research Experience NoneAdditional InformationBenefitsApplications 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. See our Gender Equality Plan and our Code of Ethics .Besides on-the-job technical training, IMDEA Materials Institute is committed to training the Institute’s scientists and staff in “soft” or transversal skills. See the available training .Meet some of our to see what it is like to work with us.Additional comments– Full-time contract including social security coverage.– The post will remain active and open until filled.– Expected start date: as soon as viable candidate is found. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Fundación IMDEA Materiales Country Spain State/Province Madrid City Getafe Postal Code 28906 GeofieldWhere to apply WebsiteContact State/ProvinceMadrid WebsiteStreetCalle Eric Kandel, 2, Tecnogetafe, Getafe Postal Code28906 Phone+34 915 49 34 22STATUS: EXPIRED

Expected salary

Location

Getafe, Madrid

Job date

Sat, 23 Mar 2024 05:26:05 GMT

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