PhD candidate or Post-doctoral research associate – Artificial Intelligence applied to enhancement of X-ray Computed Tomography

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PhD candidate or Post-doctoral research associate – Artificial Intelligence applied to enhancement of X-ray Computed Tomography

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Job description

Offer DescriptionThe candidate will participate in a public funded research project (METALIA – “Enabling technologies for the implementation of Artificial Intelligence in the value chain of the Additive Manufacturing of new metal alloys”) aiming at developing materials for various applications (space, biomedical, aeronautic, etc.) by additive manufacturing (AM). This PhD/Post-doc focuses on enhancing the capabilities of XCT (X-ray Computed Tomography) technique by applying artificial intelligence to the reconstruction of the volumes, noise reduction and defect segmentation, classification and 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. Despite the advantages, XCT is a relatively slow, and therefore costly, technique due to the large number of projections (radiographs from different angle positions) required to provide a high-quality volume reconstruction. Additionally, when measuring materials with high X-ray absorption such as metals, noise and artifacts are generated in the images. Common data limitations during XCT experiments include: i) acquiring only a limited number of projections; ii) noise in the projection images; and iii) acquiring projections for a limited angular range. Thus, the main activity of the candidate within the project will correspond to data analysis, and the development and implementation of AI-based tools to enhance and accelerate XCT pre- and post-processing. Solutions will be implemented in both, laboratory and synchrotron XCT data.The candidate is expected to have a solid background in programming, artificial intelligence and data processing.RequirementsSpecific RequirementsFor PhD candidates, the position is most appropriate for recent master’s graduates (or soon to graduate) in fields related to machine learning, computer science, material science or related disciplines with excellent academic credentials pursuing a PhD in application of artificial intelligence for image processing.Post-doctoral candidates with experience in AI applied to material science and/or XCT are also welcome to apply.Experience or knowledge in AI applied to XCT images or any other image is highly valuable. Close interactions with industrial stakeholders are expected; therefore, the ability to work as part of a team is essential.Programming knowledge in any language, preferably Python for compatibility with already developed work.Knowledge of machine learning, data analysis, image and signal treatment.Full proficiency in English, oral and written, is mandatory.3.5 years contract with 1 year evaluation period.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 07:04:59 GMT

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