About The Position
The Forest Biometrics group at the University of British Columbia (UBC) is recruiting for a post-doc position for the “Modelling and decision support of partial cutting activities on carbon storage and sequestration” project funded by the BC Forest Carbon Initiative. The goal of the landscape modelling sub-project is to determine how different partial harvesting systems result in different carbon, harvest volume, and biodiversity outcomes for an Interior Cedar Hemlock landscape over 50 years. This work will leverage empirical data from the Date Creek Research Forest long-term experiment and SORTIE stand-level modelling from related projects. Therefore, we are seeking a candidate with experience in landscape-scale forest modelling from a completed PhD program to work at a postdoctoral level with benefits for 12-18 months.
The candidate will join a multidisciplinary team led by Bianca Eskelson (UBC), Erica Lilles (FLNRORD ), Caren Dymond (FLNORD2), and Alana Clason (BVRC ). The postdoc will be based in Bianca Eskelson’s lab in Vancouver, BC, Canada. The development of this new research will require close collaboration with university, FLNRORD, and BVRC scientists, who are actively researching and developing decision support tools to mitigate and adapt to climate change using forest management.
The incumbent will also develop LANDIS-II model input, calibrate output, refine scenarios, and evaluate any sensitivities of the initial findings. This position is well suited to those who have experience and strong interest in forest landscape modelling and policy problems.
UBC hires on the basis of merit and is committed to employment equity. All qualified persons are encouraged to apply. Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person. Please indicate in your application if you are a Canadian citizen or permanent resident of Canada.
Salary – $54,000 + benefits per year
- Contribute to a project funded by the BC Forest Carbon Initiative seeking to assess the carbon, harvest volume, and biodiversity trade-offs of landscape-scale partial harvesting systems.
- Apply data, information, and methods including: LANDIS-II Forest Carbon Succession extension, Base Harvest extension, and Biomass Harvest extension modelling.
- Conduct statistical analyses, evaluate patterns and trends, and summarize and report results from the modelling and analysis.
- Write and publish peer-reviewed scientific manuscripts and associated data management including data analysis, metadata documentation and data distribution
- Write extension and web material.
- Minimum qualifications are a PhD degree in forested landscape modelling, carbon modelling or related disciplines
- Primary knowledge areas in the fields of forestry or forest ecology
- Knowledge of forest management in the BC forest sector is an asset
- Excellent written and verbal communication skills
- Demonstrated ability to work independently as a subject matter expert and in a team setting
- Experience with project management, team collaborations and meeting grant-funded deadlines and deliverables
- Expertise with R required
Application Deadline: August 13, 2021
Interested candidates should apply on UBC careers website and include the following information:
- a letter of intent that describes the candidate’s academic and career goals as well as research interests and relevant experience
- a curriculum vitae including contact information for 3 professional references
- a copy of unofficial transcripts of all post-secondary institutions the candidate has attended, and
- available IELTS results of other English language test results (unofficial records sufficient at this point)..
Please send questions to email@example.com