Experimental aeroelastic data is often needed in order to validate the output of fluid-structure interaction numerical simulations or to gain insight into the physics of a problem without the need of intermediate modelling. Traditional measurement approaches in wind tunnels have relied on the simultaneous use of several measurement systems (accelerometers, strain gauges, pressure probes, PIV…) in order to capture the relevant structural and aerodynamic variables. However, this results in complex setups which are often intrusive and need to be specifically tailored for each experiment. In addition, the output of these sensors is often limited to pointwise information. This thesis proposes the use of the robotic PIV system as a versatile measurement system capable of providing simultaneous, full-field aerodynamic and structural information in a non-intrusive way. This approach involves the simultaneous tracking of Helium Field Soap Bubbles and reflective markers for the characterization of flowfield and structure respectively. To prove the measurement concept, an experiment is conducted in the Open Jet Facility at TU Delft, where the aeroelastic response of a flexible composite wing is studied. The static and dynamic deflection of the wing is measured, where the dynamic cases correspond to the wing response to discrete and continuous gusts of different reduced frequencies. Following the experiment, a methodology is developed in order to reconstruct the aeroelastic response of the wing based on this information by combining marker-tracking data and a simplified structural beam model of the wing. The results include the reconstruction of structural variables such as strains and wing-tip accelerations, and aerodynamic variables in the form of steady and unsteady, phase-averaged flowfields. Some information about the different loads acting on the wing can be recovered from the structural model and from the flowfields based on the circulation around the wing. A good general agreement is found between the reconstructed variables and the validation measurements provided by independent systems.