/464-380 PhD Position in AI-Driven Topology Optimization for Aerospace Structures (España)

/464-380 PhD Position in AI-Driven Topology Optimization for Aerospace Structures (España)

10 nov
|
Universidad Politécnica de Madrid
|
España

10 nov

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 19 Nov 2026
- 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 5 Nov 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 Master 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. Languages ENGLISH Level Excellent Languages SPANISH Level Good Research Field Other 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. Eligibility criteria 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

📌 /464-380 PhD Position in AI-Driven Topology Optimization for Aerospace Structures (España)
🏢 Universidad Politécnica de Madrid
📍 España

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