Phd Candidate – Development Of Additive Manufacturing Of Metamaterials Using Shape Memory Alloy...

hace 4 días


Madrid, España Fundación Imdea Materiales A tiempo completo

.Organisation/Company: Fundación IMDEA MaterialesResearch Field: EngineeringResearcher Profile: First Stage Researcher (R1)Country: SpainApplication Deadline: 28 Feb 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 In order to promote the future success of AM (precision 3D and 4D printing using active alloys) for the biotech sector, this project will address the design and fabrication of devices such as vascular stents for the treatment of stenosis and aneurysms in hard-to-reach areas with complex geometries, and minimally invasive heart valves. The combined use of metamaterials, with unique properties derived from their microarchitecture and manufacturing using shape memory and/or superelastic alloys will enable minimally invasive processes and sequential shape-changing principles with unprecedented metamorphic capabilities. These advantages will result in a new generation of 'smart' and personalized medical devices that will alter the status quo in the field of cardiovascular surgery. These applications, linked to high-performance active implants, will help pave new paths in the realm of industrial biotechnology.In this study, the candidate will develop additive manufacturing of metamaterials using shape memory alloys and functional gradients. In detail, the main research tasks include:Optimization of additive manufacturing parameters of diverse structures using LPBFPrinting of personalized and superelastic cardiovascular implants for minimally invasive surgeryMicrostructural characterization of the obtained material/structures (phases, porosity, surface roughness, etc.)Surface optimization/characterization by electropolishingDetermination of mechanical properties of the fabricated structuresMethodology development for digitalized comparison of geometric structures with the original CAD modelsSystematic parametrization of relevant metrics for the specific application.For PhD candidates, the position is most appropriate for recent master's graduates (or soon to graduate) in fields related to material science and engineering or related disciplines with excellent academic credentials pursuing a PhD in advance manufacturing with focus on biomedical application.Previous experience in laser powder bed fusion (LPBF) additive manufacturing, material characterization such as SEM and XCT, or data/image analysis will be appreciated and positively evaluated.Programming knowledge in any language, preferably Python for compatibility with already developed work will be valued.Full proficiency in English, oral and written, is mandatory.Interested candidates should submit their Curriculum Vitae, a brief cover letter addressing their motivation, as well as academic credentials



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