The CBG seeks highly qualified postdoctoral fellows to join and strengthen a vibrant research and innovation group. Applicants for these positions must possess a passion for problem solving, the ability to work in a team, and a strong publication record. Ideally, candidates should bring prior experience in biodiversity genomics and in scripting (e.g. Perl, Python, R). These positions have the potential for extension beyond an initial two-year term, subject to annual performance reviews.
Species Distribution Modelling and Spatial Mapping
Large data sets generated by HTS can address current challenges in Species Distribution Modelling while extended matrix regression models (e.g. generalized dissimilarity modelling) can analyse and predict spatial patterns of turnover in community composition. The successful applicant will have a unique opportunity to combine metabarcoding results with ancillary information, such as trait data, to develop process-based models that can identify the functional composition of any location and map expected distributions of ecosystem functions and services. Desirable Background: proficiency with GIS software (ideally ArcGIS); statistical analysis in R; experience in distribution modelling and with predictive algorithms.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.
Posting Date: 2018 02 06
How to Apply
Applications will be reviewed as they are received. Please send your curriculum vitae, the names of three potential referees, and PDF copies of your two most relevant publications to: CBGfellowship@biodiversitygenomics.net