30 oct
|
Universidad Politécnica de Madrid
|
Madrid
30 oct
Universidad Politécnica de Madrid
Madrid
Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 30 Oct 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 19 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
Computational Mechanics & Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization, creating predictive models for failure control. Validation & Experimental Collaboration: Compare simulations with experiments, collaborate on proof-of-concept testing, and refine models based on results. Requirements
Research Field Engineering Education Level Bachelor Degree or equivalent Skills/Qualifications
Strong background in solid/computational mechanics, including FEM and structural analysis. Experience or interest in metamaterials, fracture mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing.
Familiarity with machine learning techniques applied to engineering problems is a plus. Good communication skills and ability to work independently and collaboratively in a multidisciplinary research environment. Specific Requirements
Master's degree in Aerospace Engineering, Mechanical and/or Structural Engineering, or a closely related field. Solid knowledge of solid mechanics, computational mechanics, or structural analysis. Demonstrated programming ability (Python, MATLAB, or C++). Good command of English (written and spoken) for research and publication activities. Motivation for research in metamaterials, fracture mechanics, and AI-driven structural design. Research Field Engineering Education Level Bachelor Degree or equivalent Languages ENGLISH Level Excellent Languages SPANISH Level Good Additional Information
Gain hands‑on experience with cutting‑edge computational mechanics, AI‑driven design, and fracture mechanics. Work on high‑impact aerospace and space applications with mentorship from leading researchers. Access to state‑of‑the‑art labs, software, and experimental facilities. Build a strong foundation for careers in academia, aerospace industry, and research institutions. Opportunities to publish in top journals, attend international conferences, and collaborate globally. Competitive funding and scholarships, plus a adaptable, innovation‑friendly environment. Selection process Additional comments Work Location(s)
Number of offers available 1 Company/Institute E.T.S. de Ingeniería Aeronáutica y del Espacio. Country Spain State/Province MADRID City MADRID Postal Code 28040 Street Plaza del Cardenal Cisneros, 3 Geofield
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📌 H/436-349 PhD Position in AI-Driven Topology Optimization for Aerospace Structures (Madrid)
🏢 Universidad Politécnica de Madrid
📍 Madrid