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, or Atmospheric Physics. A PhD in Physics, Remote Sensing, Atmospheric Physics, Environmental Physics, or Civil Engineering. More than ten (10) years of postdoc research experience in the fields of atmospheric
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, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
empirical modelling, D-Region ionospheric remote sensing, or ionospheric radio propagation. This 3-year post will provide the candidate with the opportunity to fully engage with the research group, with work
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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant