Postdoctoral Position in Ecological Modeling

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Postdoctoral Position in Ecological Modeling

#1 Post by wave_swan » Thu Jul 26, 2018 5:18 am

Postdoctoral Position in Ecological Modeling (Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai City, Shandong Province, P.R. China)

We are seeking 1-2 postdoctoral researchers in Ecological Modeling for a contract up to 2 year, which aimed at understanding the effects of climate change on the estuarine and coastal processes. Areas of interest include but are not limited to the effects of sea level rise and ocean acidification on the hypoxia, microbial nutrient cycling, and phytoplankton dynamics in the estuary and bay. The successful candidate will join a numerical modeling team at the Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (located at a beautiful coastal city Yantai, Shandong Province, China), while he/she could visit the University of Maryland Eastern Shore Numerical Modeling group in Maryland, USA. The successful candidate will focus on the development and application of the Ecological Model (e.g., FVCOM-ICM) to answer scientific questions related to hypoxia, nutrient cycling, and phytoplankton dynamics. Applicants should have a Ph.D. degree in Physical Oceanography, Biological Oceanography, Numerical Modeling, or related fields. The effective oral and written communication skills are required, and the successful candidate is expected to attend academic conferences and publish papers in the peer-reviewed journals. The experience with numerical modeling and data analysis is highly preferred. Salary is from 36k to 60k us dollar per year depending on the qualification and free accommodation at the faculty building of the Yantai Institution is provided. Before a formal application, interested applicants are encouraged to send an updated CV and statement of research area to Dr. Miaohua Mao at Reviewing process will begin immediately and continue until this position is filled. The initial term of appointment is two-year.
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