AI-Driven Topology Optimization for Aerospace & Metamaterials

UNIVERSIDAD POLITECNICA DE MADRID; España; On-site; EUR 29,000 - 42,000; Full time

Benefits offered by this job

Access to state-of-the-art labs

Competitive funding

Scholarships

Mentorship from leading researchers

Job summary

UNIVERSIDAD POLITECNICA DE MADRID is inviting applications for a First Stage Researcher (R1) in the Aeronautical Engineering department. The role focuses on computational mechanics, metamaterials design, and AI-driven topology optimization for aerospace structures.

The successful candidate will work on validating numerical models with experiments, and will collaborate with leading researchers in a multidisciplinary setting at the Madrid campus.

Qualifications

• Strong background in solid/computational mechanics, FEM and structural analysis.
• Experience or interest in metamaterials, fracture mechanics, or advanced material behavior.
• Programming skills (Python, MATLAB, Julia) with numerical methods or scientific computing.

Responsibilities

• Develop and simulate numerical models of damage and failure in aerospace structures.
• Perform FEM analyses and metamaterial investigations for durability.
• Design and optimize materials, including microstructural analysis and testing.
• Collaborate on validation, experiments, and refinement of models based on results.

Skills

Solid mechanics

Computational mechanics

Finite element method (FEM)

Metamaterials

Fracture mechanics

Python

MATLAB

Julia

Machine learning

Communication skills

Education

Master's degree in Aerospace Engineering, Mechanical or Structural Engineering

Tools

Python

MATLAB

C++

Job description

UNIVERSIDAD POLITECNICA DE MADRID is inviting applications for a First Stage Researcher (R1) in the Aeronautical Engineering department. The role focuses on computational mechanics, metamaterials design, and AI-driven topology optimization for aerospace structures.

The successful candidate will work on validating numerical models with experiments, and will collaborate with leading researchers in a multidisciplinary setting at the Madrid campus.