Join the Lab!
Interested in joining the lab? We are always interested in hearing from prospective graduate students and postdocs whose interests overlap with our lab’s research. Undergraduate students interested in independent research are also welcome to get in touch. If you’re interested in any of these opportunities, please contact Justin.
We do not currently have funding for postdocs to join our lab. However, if you are interested in working with our lab and have potential sources of funding to do so, please get in touch with Justin.
We are planning to recruit one graduate student to join our lab in Fall 2021 (applications accepted in Fall 2020). The research focus for this student will be somewhat flexible, but will likely focus on field surveys of Pennsylvania breeding birds and associated data analysis. Students with a background in field work involving birds, acoustic surveys, statistics, and/or machine learning models are particularly encouraged to apply. Our department provides very competitive financial support for graduate students that includes a generous stipend and full tuition remission. We anticipate that the graduate student joining the lab in Fall 2021 will receive a five year support package that includes 4 years of research funding and 1 year of teaching.
If you are interested in this position, please contact Justin to discuss your interests before submitting an application to the university. Please send an email including a CV and cover letter describing the types of work (broadly speaking) that you are hoping to do for your dissertation and why you are considering our lab in particular.
Aside from this particular opening, if you are interested in working with our lab and have potential sources of funding identified (such as an NSF GRFP), please get in touch with Justin.
Motivated undergraduate students may work with Justin on a project of mutual interest. Suitable topics include questions related to spatial ecology and conservation, either from a field or a model-driven perspective. The majority of our research is quantitative in nature, so undergraduates should ideally have programming experience with Python, R, C, or a similar language (or the ability and willingness to learn these).