The Quantitative Biogeography Lab at the University of North Carolina Chapel Hill is recruiting a postdoctoral scholar to study biogeography and biodiversity patterns under climate change and human impacts. The research in our lab is data and model intensive; our research commonly involves extensive data analysis and modeling, leveraging big data from biodiversity and environmental databases, employing various modeling techniques, and conducting large-scale computations to explore biogeography and biodiversity patterns at a global or continental scale. For more details about our research themes, please visit [https://lab.fengxiao.info/research].
We welcome applications from scholars with strong quantitative skills and shared research interests. The selected postdoctoral scholar will primarily work with Dr. Xiao Feng and will have opportunities to work with lab collaborators, mentor students, and gain teaching experience if desired. Additionally, the position provides access to dedicated computational resources, such as workstations and high-performance computing facilities. This position is based within the Department of Biology at the University of North Carolina, Chapel Hill, and offers a competitive salary along with health benefits. Initially, it is a two-year appointment, renewable annually, with the possibility of extending for a third year contingent upon satisfactory performance and funding availability. Visa support will be provided as needed. The position is expected to start in 2025. The University of North Carolina at Chapel Hill is a vibrant center of scientific discovery and innovation, with a commitment to collaboration. UNC faculty, postdocs and graduate students also routinely interact with colleagues at nearby Duke and North Carolina State Universities, institutions in Research Triangle Park, Highlands Biological Station, the Institute for Marine Sciences, and the Galapagos Science Center. The quality of life in North Carolina’s Triangle area is consistently rated among the highest in the nation. Typical responsibilities include: -Compiling and synthesizing biodiversity data -Developing statistical models and ecological niche models/species distribution models -Publishing research in peer-reviewed journals -Facilitating proposal development Minimum qualifications: -A doctoral degree in a relevant field, including but not limited to ecology, biogeography -Experience with programming (e.g. R, Python), statistical models (e.g. regression), and GIS -Ability to work independently and as part of a team The ideal candidate will possess: -A strong publication record and a passion for science -Advanced expertise in data analysis and programming -A solid background in statistical models (e.g. regression, ENM/SDM) Interested candidates should submit the following items via the application website: (1) A 1-2 page cover letter (please explain your research interests, why you are a good fit for the position, and your experience working with programming/statistics/data science) (2) Your most recent CV, including contact information for three references; (3) PDFs of representative publications, preprints, or manuscripts (up to three); Application link: https://forms.gle/kwt3VX6HkJMzXz8h7 To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp
