Start Date: As soon as possible
Salary: $50,000 per annum + benefits
Duration: 2 years
Location: McGill University, Montreal, Canada
Supervisors: Dr. Brian Robinson (McGill) and Dr. Lael Parrott (UBC-Okanagan)

This is an exciting opportunity for a quantitative geographer or interdisciplinary scientist tocontribute to innovative research through developing next-generation ecosystem service models that integrate nature and people. The PDF will source available data and develop appropriate quantitative methods in developing these models.

The research program involves a consortium of leading universities across Canada working with local government and civil society partners to address real-world issues in 6 working landscapes, and is highly interdisciplinary. We will use methods and tools from a range of disciplines to model the impacts of policy scenarios on changes in ecosystem services and the
resulting benefits to people.

The successful PDF will benefit from opportunities to collaborate with world-class investigators in Canada and our partner institutions, attend technical workshops and team meetings, and contribute to local policy debates in our sample of working landscape. The successful candidate must have an exceptional aptitude for analytical and critical thinking about scientific problems, data, and analytical methods; strong written and oral communication capabilities; motivation for problem solving; aptitude for interdisciplinary research and teamwork; and ability to work and learn independently. For postdoctoral appointees, there will be scope to transition from mentored research to an independent research agenda.

Ideal Qualifications

  • PhD in quantitative geography or similar, with applied computer programming experience.
  • Technical competence in spatial science, data science, and applications to geographic information systems
  • Familiarity with data sources that could characterize the supply of ecosystem services and community beneficiaries that use ecosystem services
  • Track record of technical and scholarly excellence as demonstrated through publications, methods development, and applications
  • Background in ecosystem services
  • Superior data management and organizational skills
  • Some familiarity with machine/deep learning is a plus

Application procedure
Interested candidates should email brian.e.robinson@mcgill.ca and lael.parrott@ubc.ca (with subject: ES modelling Postdoc) with a single PDF containing (in order):
1. A cover letter describing your research background, interests, and qualifications,
2. A full curriculum vitae,
3. Contact information for at least 2 references, and
4. One or two sample publications.

Review of applications will begin on November 11, 2019. Competitive candidates will begin to
be contacted shortly thereafter, with review ongoing until a suitable candidate is found. Only
shortlisted candidates will be contacted. We welcome applications from indigenous peoples,
visible minorities, ethnic minorities, persons with disabilities, women, persons of minority sexual
orientations and genders.

More details here: http://bennettlab.weebly.com/join-the-lab.html