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Universidad Carlos III de Madrid

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Two PhD Opportunities in Aerospace Engineering: Drone Wind Forecasting and Structural Health Monitoring of Multi-Material Wings Universidad Carlos III de Madrid in Spain

Degree Level

PhD

Field of study

Mechanical Engineering

Funding

Available

Deadline

Nov 15, 2026

Country flag

Country

Spain

University

Universidad Carlos III de Madrid

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Keywords

Mechanical Engineering
Aerospace Engineering
Reinforcement Learning
Digital Twin Technology
Robotics
Structural Dynamic
ML

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About this position

The Aerospace Engineering PhD Programme at Universidad Carlos III de Madrid is collecting expressions of interest for two doctoral research topics in its Aerospace Engineering Department, a designated “María de Maeztu” Unit of Excellence for 2026–2031.

PhD 1: Flying Anemometers—From Drone Dynamics to Urban Wind Forecasts. This project investigates cooperative drone swarms used as mobile wind sensors. Local wind conditions will be estimated from the drones’ own flight dynamics and used to train a reduced-order latent model capable of reconstructing and forecasting urban wind in real time. These forecasts will support risk-aware and energy-efficient swarm planning through model predictive control and multi-agent reinforcement learning, as well as gust-aware landing, no-fly-zone management and contaminant-dispersion prediction. The topic combines aerospace engineering, drone dynamics, robotics, machine learning, urban wind modelling and autonomous flight.

PhD 2: Propeller-Driven Vibration Testing for the Structural Health Monitoring of Multi-Material Wings. This project develops propeller-driven vibration testing, using an aircraft’s propeller as a vibration shaker. The research will combine closed-loop propeller excitation and automated modal identification on a multi-material wing, both on the ground and in a wind tunnel. A higher-order digital twin will be used to locate and quantify damage during operation, supporting condition-based maintenance. The topic focuses on structural dynamics, vibration testing, digital twins, composites and structural health monitoring in aerospace systems.

The four listed supervisors are Luigi Marra, Abolfazl Simorgh, Alberto Racionero Sánchez-Majano and Gabriele Dessena. Together, the projects offer research environments spanning autonomous aerial systems, wind forecasting, control, structural testing and aircraft damage assessment.

Funding details

Available

What's required

Applicants should hold a Master's degree in Aerospace Engineering, Mechanical Engineering, Control/Robotics, Physics, Applied Mathematics or a related field, with a 300 ECTS Bachelor's plus Master's background. Strong motivation for research and good English skills are required. Applicants should submit a CV, academic transcripts and a short motivation letter.

How to apply

Email the supervisors of the PhD topic of interest with your CV, academic transcripts and a short motivation letter. Early applications are encouraged.

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