HRS2026/464-380 PhD Position in AI-Driven Topology Optimization for Aerospace Structures
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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 flexible, 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
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