Research Center for Eco-Environmental Sciences (RCEES) is seeking two post-doctoral research scientists in quantitative ecology, statistical modeling, and migratory bird management and tracing bird migration with stable isotope approaches. Our team have been focusing on migratory birds and wetlands research for over 20 years.
We are automatically obtaining accurate GPS movement data from thousands of birds simultaneously. It has already yielded over 40 million data points (localizations) and one billion 3-axis acceleration data from nearly 3000 birds of about 60 bird species, with data accumulation rates of up to 150 thousand data points per day.
This exceptionally large dataset provides a unprecedented opportunity to investigate key interactions among individuals, both within and between species, at the fine resolution relevant to bird individual-individual interactions and over relatively long periods of time (days, weeks, months and even years), and is well suited for studies of fine-scale interactions between birds and their environment, local movements, dispersal, the size of individual home ranges, location of habitats, relationships and the like.
Location: Research Center for Eco-Environmental Sciences (RCEES), Chinese Academy of Sciences (CAS), Beijing, China
Performance Period: 2-3 years
Application Deadline: December 31, 2020 or until a suitable candidate is found
Desired qualifications will include technical skills in one or more of the following areas:
1. Ornithology, with a foundation of knowledge in the ecology of migratory birds, statistics, or related field, with a focus on quantitative methods, survey design, and migratory bird management.
2. Quantitative ecology, with experience in statistical modeling and computer programming, to develop models to characterize bird activity patterns from continuous tracking data; and incorporate spatial information with movement data.
3. Data science, with experience in working with species distribution modeling or with large complex datasets.
4. Geographic sciences, with experience at acquiring and compiling geographic data and GIS layers from different sources.
5. Specific duties will be to develop a framework for characterizing distribution, abundance and trends of species in EAAF, to demonstrate the power of novel quantitative approaches and data for addressing central questions in ecology or conservation.
1. Applicants should be citizens of a country which has diplomatic relations with China.
2. Awardees must have earned the doctoral degree within five years of beginning their fellowship.
3. Evidence of research productivity, with publications in the peer-reviewed literature.
4. Good communication skills, including successful research grants and oral presentations at scientific conferences.
About the employer
Research Center for Eco-Environmental Sciences (RCEES) is the first comprehensive research institution engaged in research on eco-environmental science and technology in China. In 1986, authorized by State Science and Technology Commission and Chinese Academy of Sciences (CAS). RCEES has successively carried out the frontier researches on environmental science, and systems ecology, and has done some pioneer, foundation-laid and creative work on the environmental background survey, environment safety assessment, water pollution control, theory of complex ecosystems, national nature reserve construction and many other environmental issues in China. It made historical contribution to the development in the eco-environmental sciences and technology in China.
The Centre creates pioneering knowledge and tools that permeate environmental management globally. The main purposes of RCEES are to carry out some national and international research projects in environmental sciences, environmental engineering, systems ecology and environmental biotechnology, to advance the science and technology nationally and world widely, to provide fundamental data in ecological and environmental sciences for governments and to offer some applied high technology to enterprises. RCEES has a dynamic team of multidisciplinary conservation scientists, with expertise not just in ecology, Ornithology and biogeography, but also in decision science, mathematics, economics, spatial analysis, and social, ecological, and climate modelling.