Space-Time Adaptive Processing (STAP) has been shown to provide significant improvements in many different application areas [1]. Though similar in principle, those applications exhibit specificities, related for example to the characteristics of the antenna arrays and to the statistical properties of the involved signals. In this communication, different examples of applications of Space-Time Adaptive Processing (STAP), currently being studied or developped in Thales, are reviewed, and some areas for future research are outlined. The following applications are considered (without exhaustivity): airborne surveillance radars, airborne combat radars, radio communications, satellite navigation, and underwater sonar systems. I. INTRODUCTION Taking advantage of multidimensional distribution of disturbances, Space-Time Adaptive Processing (STAP) improves the performance of sensors, at a price (computing power) which becomes acceptable in many application areas. In this paper, we will overview different applications currently developped in Thales and analyse shortly their specificities, in order to outline the variations of algorithms and the required efforts in research. The following applications will be considered: airborne surveillance radars, airborne combat radars, radio communications, satellite navigation, and underwater sonar systems. This coverage is by no way exhaustive, since applications to surface radars antijamming, or to RF seekers, could also be mentionned, for example.