The ideal candidate should have a PhD
environmental engineering, physics or environmental
sciences or related field with emphasis on modelling,
multivariate statistics and spatial analysis (or a University
degree and 5 years of research experience after the
degree giving access to doctoral studies).
Experience working with forest growth models, large
environmental datasets and hands on experience with
scientific programming (e,g R, Python) and Geographical
Information Systems will be considered assets.