Background
As part of the
development of the Canadian network of traits databases (TOPIC), a
post-doctoral position is open to work on the challenge of interdisciplinary
data integration. Working at the interface of mathematics and biology, the
candidate will develop crucial knowledge on data integration. He/She will
coordinate the development of the TOPIC network ecoinformatic platform and manage
communication between the different modules of the platform and with other national
and international databases. Working in close collaboration with the TOPIC
network members as well as with leaders of international research initiatives,
the candidate will also be involved in research projects using the trait-based
approach.
Qualifications
- Ph.D. in forest science, biology, environmental science or mathematics
- Good knowledge of the trait-based approach
- Experience in database development, ontology and/or data standardisation
- Basic knowledge and interest in botany
- Knowledge of R software and good statistics skills
- Good oral and written communication skills in English
- Proven ability to publish
- Good aptitude for working in a team and with collaborators
Position Details
Salary:
40 000$ CAN/year
Possibility of additional funding by applying for a post-doctoral
fellowship within the Forest Complexity Modelling program (FCM), CREATE (NSERC)
(http://www.mcf.uqam.ca/).
Duration: 12 months with a possibility of extension
Start date: January
2012
Location: Great
Lakes Forestry Centre (Natural Resources Canada,
Canadian Forest
Service) Sault Ste. Marie, Ontario.
Possibility to be based at Montréal, Sherbrooke
or Québec City with frequent stays in Sault
Ste-Marie. Flexibility will be given on the location but preference will be given
to candidates willing to work full-time in Sault Ste-Marie.
Application Process
Please
send your resume with a cover letter, list of published papers and the contact
information of 3 references by email to Isabelle Aubin (Isabelle.Aubin@nrcan.gc.ca).
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