H/436-349 PhD Position in AI-Driven Topology Optimization for Aerospace Structures (España)

H/436-349 PhD Position in AI-Driven Topology Optimization for Aerospace Structures (España)

30 oct
|
Universidad Politécnica de Madrid
|
España

30 oct

Universidad Politécnica de Madrid

España

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 versátil, 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 #J-18808-Ljbffr

📌 H/436-349 PhD Position in AI-Driven Topology Optimization for Aerospace Structures (España)
🏢 Universidad Politécnica de Madrid
📍 España

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