Due to the rapid expansion of the commercial aviation industry, authorities have been tightening the legislation for aircraft noise. For instance, the European Commission has set a 65% reduction goal of overall aircraft noise from the year 2000 to 2050 [1]. The noise generated by the jet exhaust is one of the main contributors to the overall aircraft noise, especially during takeoff [2]. Moreover, in new generation ultra-high bypass ratio turbofan engines the increased interaction between the engine jet and the high-lift devices can potentially affect the noise field [3]. Thus, our overall aim is to develop and investigate an accurate and efficient method for the prediction of far-field jet noise in installed jet configurations. Rapid growth in computing power during the last decades has enabled the use of scale resolving numerical simulations for jet noise research at a reduced cost than most experimental campaigns. Conventionally, 2nd-order numerical schemes combined with surface integral techniques, particularly the Ffowcs Williams-Hawkings (FW-H) method [4] have been widely adopted for predicting the far-field noise, due to its simplicity and low cost. However, defining the envelope surface used in the FW-H method is not always trivial in complex configurations [5], for example, installed jets on aircraft wings. Also, the results may be overly sensitive to the size, shape and location of these surfaces. Now, directly resolving the Navier-Stokes (NS) equations for sufficiently accurate far-field jet noise results is prohibitively expensive [6]. LES using finite volume 2nd-order accurate schemes has proven to be reliable and robust for solving jets' near field, but large numerical dispersion and dissipation error makes them less suitable for the propagation of the