This paper describes the application of the SynchroSqueezing Transform (SST) to the problem of radiometric identification, which means that wireless devices can be identified and authenticated through their radio frequency emissions. Radiometric identification has been applied to enhance the security of wireless networks based on WiFi or cellular communication standards. In literature, radiometric identification has been performed by feature extraction in the 1D time domain, 1D frequency domain or also in the 2D time-frequency domain. This paper describes the novel application of the 2D SST to the problem of radiometric identification. An experimental data set of Radio Frequency (RF) emissions from 12 wireless devices is used to evaluate the performance of the SST transform in terms of identification accuracy. This paper shows that the identification accuracy obtained using 2D SST is superior to conventional techniques based in the 1D time domain or 1D frequency domain especially in presence of gaussian noise. 1 This work has been partially supported by the European Commission through project SerIoT funded by the European Union H2020 Programme under Grant Agreement No. 780139. The opinions expressed in this paper are those of the authors and do not necessarily reflect the views of the European Commission.