kimstatistics Posted January 4, 2021 Share Posted January 4, 2021 Hi, I'm 1st year phd student in stat/biostat. Since I don't have enough knowledge about fields in statistics, I would like to ask you some advice for choosing my research interests even though this can be silly question. I don't have a specific interests until yet, but I hope it can be applied in various fields and have enough positions in academia. High-dimensional data analysis(including functional data analysis) and uncertainty quantification(using gaussian process) come to my mind among available options. High-dimensional study is very popular now and many statisticians do this. I guess this is in high demand but also common and more competitive. On the other hand, uncertainty quantification is pretty unfamiliar to me. I think it lies in Statistics and Industrial engineering and this can be advantage. However, it is not easy to find TT faculty in this field rather than high-dimensional study. In addition, I've heard time series is on the decline recently. Is it really on the decline? and Does it have many job opportunity especially in academia? I know all of these are depends on my publications, but I want to know general trend. It will be better option if there is something combined with these two fields, but I cannot imagine anything yet. I really appreciate your advice or answers in advance! Link to comment Share on other sites More sharing options...
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