AI-Driven Topology Optimization PhD in Aerospace Structures

UNIVERSIDAD POLITECNICA DE MADRID; España; On-site; EUR 28,000 - 34,000; Full time

Job summary

UNIVERSIDAD POLITÉCNICA DE MADRID invites applications for a First Stage Researcher (R1) position in Engineering. The role focuses on computational mechanics, metamaterials, topology optimization and AI integration.

You will develop and validate numerical models, perform simulations, and collaborate with experimental teams. The successful candidate holds a Master’s in Aerospace/Mechanical/Structural Engineering with experience in FEM and programming (Python/MATLAB/C++), and strong English for

Qualifications

• Master's degree in a related field (Aerospace/Mechanical/Structural).
• Solid background in solid and computational mechanics (FEM).
• Programming ability in Python, MATLAB or C++.
• Good command of English for research and publication.

Responsibilities

• Develop and simulate numerical models of damage and failure in aerospace structures.
• Perform metamaterials design and microstructural analysis with mechanical testing.
• Apply topology optimization and AI to guide structural design.
• Collaborate with experimental teams for validation and refinement of models.

Skills

Solid mechanics

FEM

Programming

Python

MATLAB

C++

Machine learning

Communication

Education

Master's degree in Aerospace Engineering

Bachelor degree or equivalent

Tools

Python

MATLAB

C++

Job description

UNIVERSIDAD POLITÉCNICA DE MADRID invites applications for a First Stage Researcher (R1) position in Engineering. The role focuses on computational mechanics, metamaterials, topology optimization and AI integration.

You will develop and validate numerical models, perform simulations, and collaborate with experimental teams. The successful candidate holds a Master’s in Aerospace/Mechanical/Structural Engineering with experience in FEM and programming (Python/MATLAB/C++), and strong English for