We are looking for a dynamic scientist with experience in hydrologic modelling to join our team at the Department of Forest Resources Management, University of British Columbia in Vancouver, British Columbia, Canada. The successful candidate will contribute to research aimed at understanding and quantifying the effects of natural and anthropogenic forest disturbances at the stand, small, medium, and large watershed scales in snow-dominated environment.
The appointment will initially run from June 1, 2020 (or shortly thereafter) for a full year with extension being contingent on performance and availability of funding.
Applicants must have demonstrated strengths needed for not only the application of existing hydrological models but also making source code changes and adapting these models to the simulation of the hydrology of disturbed watersheds. The candidate must have a strong background in physical hydrology and a sound understanding of the interactions of the vegetation cover with processes such as snow accumulation, melt, evaporation, and transpiration. Applicants must have strong mathematical and computer skills. A basic foundation in forestry and previous experience with the use of distributed models such as the Distributed Hydrology Soil Vegetation Model (DHSVM) of Wigmosta et al. (1994 WRR) will be considered good assets.
Preference will be given to candidates with strong communication skills and who have demonstrated abilities to conduct research and publish in scientific journals. Only candidates who hold a PhD degree at the time of appointment can be considered for this position. Salary for this position will depend on experience.
How to Apply for this Postdoctoral Position in Hydrologic Modelling
Applications including a resume and the names and addresses of at least two references should be emailed before May 30, 2020 to:
Professor Younes Alila, P.Eng.
Department of Forest Resources Management
Faculty of Forestry
University of British Columbia
Canada V6T 1Z4
The University of British Columbia hires based on merit and is committed to employment equity. We encourage all qualified persons to apply.