|From||"Jed O. Kaplan" <email@example.com>|
|Date||Fri, 24 Jan 2020 08:01:00 +0000|
Applications are invited for appointment as Tenure-track Associate Professor/Assistant Professor in Quantitative Analysis in Environmental Sciences in the Faculty of Science (Ref.: 495673), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. Direct tenure may be offered to outstanding candidates for Associate Professor position. The appointee will be hosted in the Department of Statistics and Actuarial Science and co-hosted in the School of Biological Sciences or the Department of Earth Sciences. Applicants should possess a Ph.D. degree in Statistics, Biostatistics, Computer Science, Atmospheric/Earth/Environmental Sciences, or related disciplines. They should be able to demonstrate excellence in research in the development and application of quantitative statistical techniques for analysing big data in the environmental sciences. Research foci could include detection and attribution of climate change, earth observation, environmental monitoring, ecological statistics, and paleoenvironmental reconstruction, among others. We particularly welcome applicants with expertise in time series analysis, spatial statistics, predictive modelling, biometry, artificial intelligence, and the application of cloud computing. The appointee will collaborate with researchers in the Faculty of Science, which includes biologists, earth scientists, climate scientists and marine scientists. Hong Kong currently offers a range of attractive funding opportunities to support innovative research. For full details and online application form, see: https://jobs.hku.hk/cw/en/job/495673 Review of applications will commence on March 1, 2020. For informal queries on academic and/or private life in Hong Kong, feel free to contact me by email. -- Prof. Jed O. Kaplan Department of Earth Sciences University of Hong Kong Pokfulam Road Hong Kong web.hku.hk/~jkaplan
Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.