The University of Bordeaux is recruiting a postdoctoral researcher with a statistics or quantitative ecology/evolution background to work on improving the identifiability of dynamic ecological models, with a focus on models describing the population dynamics of interacting species. Model parameters are unidentifiable when several parameter values give rise to identical likelihoods, which causes frequent issues in nonlinear and/or dynamic models. While statisticians have long known about such difficulties [1, 2] these remain often neglected in the ecological and quantitative biology literatures, and have only recently become more mainstream [3, 4]. Ecological models of community dynamics, with several species interacting with each other, are particularly prone to identifiability issues s