HRER2026/436-349 PhD Position in AI-Driven Topology Optimization for 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

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 flexible, 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