The Quantitative Biogeography Lab in Department of Biology at the University of North Carolina Chapel Hill is recruiting PhD/Master students to start in Fall 2024. The research in our lab are 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.inf o/research].
Prospective students sharing similar research interests, including biogeography, biodiversity informatics, and ecological niche modeling, are highly encouraged to apply. Graduate students will be supported through a combination of research and teaching assistantships.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.
Qualifications:
- Bachelor/Master degree in biology, ecology, environmental science, or relevant field;
- Good verbal and written communication skills;
- Being able to work independently and as part of a team.
The application deadline is November 28, 2023. See more details of the application here: https://bio.unc.edu/graduate
Interested students please send me following information via this link (https://forms.gle/i2oQGdUmQkxau6Ci6). Note, sending me the documents is not a formal application.
- A 1-2 page cover letter (please explain your research interests, why you are interested in joining, and your experience working with programming/statistics/data science);
- Your most recent CV, including contact information for three references;
- PDFs of writing samples (e.g. peer-reviewed article, thesis, essay, preprint; up to 3)