Rafael Palacios
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About
Rafael Palacios is an Associate Professor at Imperial College London, UK. His research focuses on aeroelasticity, computational aerodynamics, and optimization methods in aerospace engineering, as evidenced by his recent publications on topics such as flexible wing models, vortex lattice aerodynamics, and flutter prediction methods. He employs advanced simulation techniques to enhance the understanding of fluid-structure interactions in nonlinear dynamic systems.
Recent Grants
Grant: Close
FENGBO-WIND - Farming the ENvironment into the Grid: Big data in Offshore Wind
Open Date: 2017-07-02
Close Date: 2020-07-01
Grant: Close
MAXFARM (MAXimizing wind Farm Aerodynamic Resource via advanced Modelling)
Open Date: 2015-11-02
Close Date: 2018-11-01
Grant: Close
Vortex Induced Vibration and Structural Integrity of Deep Water Flexible Risers
Open Date: 2013-10-13
Close Date: 2016-10-12
Grant: Close
Vortex Induced Vibration and Structural Integrity of Deep Water Flexible Risers
Open Date: 2013-10-13
Close Date: 2016-10-12
Grant: Close
Towards Biologically-inspired active-compliant-wing micro-air-vehicles
Open Date: 2012-07-26
Close Date: 2016-04-29
Positions (1)
Rafael Palacios
Imperial College London
Imperial College London is advertising two 2-year postdoctoral research associate (PDRA) positions in the LoCA Lab / Aeroelastics group on flight physics of high-altitude communications platforms . The project is part of ARIA’s Enduring Atmospheric Platforms programme and focuses on unlocking a new wireless communications layer in the stratosphere using high-altitude pseudo-satellites (HAPS) . The research is computational and interdisciplinary, combining aerospace engineering , optimization , machine learning , turbulence modelling , computational fluid dynamics , and large-scale simulation/optimisation. One role focuses on co-design of a HAPS fleet for wireless communications , including sizing, mission planning, fleet design, and operation protocols for a reconfigurable stratospheric communications network. The other role focuses on atmospheric turbulence forecasting methods for HAPS , including meteorological-scale simulation, synthetic ground truth generation, and aeroelastic/vehicle-level modelling. Applicants should have an aeronautical engineering degree or a strong research background in CFD , plus advanced simulation and software skills, research-level optimisation experience, and strong teamwork ability. The post specifically highlights excellent coding and data/software skills. The positions are based at Imperial College London in London, UK. Interested candidates should email Prof Rafael Palacios with a full CV and short cover letter, using “PDRA HAPS” in the subject line. No formal deadline is given, but the page notes that appointments are expected to start by October 2026 .
Articles (13)
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2022
Collaborators (5)
kanjuro makihara
Professor
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Mohsen Lahooti
Lecturer in Fluid-Structure Interaction
Newcastle University
Keisuke Otsuka
Associate Professor
Tohoku University
Andrew Wynn
Reader in Control and Optimization
Imperial College London
Yinan Wang
University of Liverpool
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