The Houlahan Lab is looking for a Ph. D. student with very strong
quantitative skills and an interest in answering fundamental
ecological questions that can be addressed with multi-year, -site,
-species datasets. All applicants should have some experience in
ONE of GLMM's, Bayesian modeling, machine learning and/or structural
equation models and a commitment to learning more. It would be an
advantage to have some experience programming in R or Python (I have
some experience in R but am happy to learn from somebody who can use Python).
Our lab focuses on using large datasets to address fundamental
ecological questions and whole-system pond experiments to address
both applied and fundamental ecological questions. We have addressed
questions related to interspecific competition and
diversity-stability relationships but are happy to discuss any
interesting projects.
We would be just as happy with a computer science or math student
with an interest in ecology as an ecology student with interests in
computer science math or statistics. An M.Sc. is preferable but
exceptionally strong students without an M. Sc. will be considered.
UNB Saint John is one of two campuses associated with the University
of New Brunswick. The Biology department is small but dynamic with
~ 50 graduate students and strengths in marine ecology and
eco-toxicology. The Houlahan lab is part of the Canadian Rivers
Institute and the successful candidate would have access to the CRI
state-of-the art laboratory facilities.
Interested candidates should contact Jeff Houlahan
(<mailto:jeffh...@unb.ca>jeffh...@unb.ca).
Jeff Houlahan
Dept of Biology
100 Tucker Park Road
Saint John, NB
