Postdoctoral Fellow or Research Associate, Global Ecological Change and Sustainability lab at the School of Environmental Sciences, University of Guelph

Dr. Anand is seeking a Postdoctoral Fellow or Research Associate to join the Global Ecological Change and Sustainability lab at the School of Environmental Sciences, University of Guelph. The candidate will work on Dr. Anand’s project “Modelling and Monitoring Agroecological Mosaic Ecosystems for Optimizing Human-Environment Sustainability.” This project is funded by CFREF Food from Thought.

The candidate will work along the following axes of research:

  • Profit mapping and other optimization modelling tools: The candidate will continue a line of work on a) the use of precision agriculture data to identify set-aside lands for biodiversity and b) local optimization methods that identify multiple, alternative landscape patterns that improve biodiversity without reducing land for agricultural activities.
  • Incorporated social network and social learning analyses to understand what drives the adoption of sustainable practices by individuals: The candidate will analyze surveys on the implementation of best management practices and the provision of ecosystem services in farms to identify social drivers that guide the adoption of sustainable practices. The candidate will also participate in a collaboration involving social networks and learning with this same objective.

The candidate is expected to:

  • Work proactively as an individual and as part of a team;
  • Lead the scientific publications that result from their research;
  • Contribute to the preparation of grant progress reports and proposals;
  • Participate in lab meetings, providing feedback to graduate students in the lab;
  • Take part in CFREF Food from Thought meetings and symposia;
  • Engage with faculty across campus, farmer groups, and other stakeholders as needed;
  • Maintain an open mind to work in an interdisciplinary fashion, merging natural and social sciences to solve complex socio-environmental problems; and,
  • Uphold ethical and research standards.

Qualifications:

  • PhD degree in Environmental Sciences, Geography, Agriculture, or relevant field.
  • Excellent quantitative and analytical skills, including uni- and multivariate statistics. Experience with structural equation modeling or path analysis highly desired.
  • Outstanding command of statistical (e.g. R, SAS, SPSS, Python) and Geographic Information Systems software (e.g. ArcMap).
  • Track record in quantitative ecology, agroecological systems, environmental monitoring, human-environment modeling, and/or survey design.

Compensation: CAD $50,000/year plus benefits. One-year contract, renewable. Start date: May 2020.

How to apply: Send resume (2 pages max.) and letter of intent indicating relevant experience and interest in the project to Dr. Anand (manand@uoguelph.ca).

More info: Dr. Anand’s research; CFREF Food from Thought; living in Guelph.

Postdoctoral position: Population genomics of the invasion of the Great Lakes by sea lamprey, Department of Biological Sciences, University of Manitoba, Canada

POSITION START DATE: We’re targeting a start between March and July 2020, but we may be able to be flexible with start dates. Funding is for two years

CLOSING DATE FOR APPLICATIONS: We will begin review of applications 9 Feb 2020 and the position will remain open until filled

RANK: Post-doctoral fellow

SALARY RANGE: $45,000–$55,000 per annum (plus benefits), commensurate with qualifications and experience

PROJECT OVERVIEW: Sea lamprey (Petromyzon marinus) are native to the Atlantic Ocean and invasive in the Great Lakes, where they cause significant damage to the ecosystem and fishery. The objectives of this project are to use whole genome re-sequencing data to 1) model the invasion history of the Great Lakes system and 2) search for signatures of selection in the freshwater populations.

Sea lamprey likely moved into Lake Erie and the upper Great Lakes following completion of the Welland Canal which allowed passage around Niagara Falls. Current population connectivity among the upper Great Lakes, Lake Erie, and Lake Ontario, and between the marine and invasive freshwater populations is not well characterized. Our goal is to use whole genome re-sequencing of individuals sampled across 20 sample sites within the Great Lakes, the Finger Lakes, and Lake Champlain, and along the Atlantic coast to model the demographics of the invasion history and gene flow within this system.

The primary management tool currently in use to control the invasive sea lamprey populations is lampricide treatment. The use of lampricides has reduced and held adult sea lamprey abundance to ~10% of that observed prior to the start of control efforts thus potentially exerting strong selection. We are in the position to test for the evolution of lampricide resistance at a suite of candidate genes associated with physiological and transcriptomic responses to experimental lampricide applications identified in ongoing related work. Given the very different environmental conditions experienced in marine and freshwater environments, we also may find evidence for selection associated with selection pressures other than lampricide applications (e.g., associated with osmoregulation and life history trait variation).

Please send any additional questions about the position to colin.garroway@umanitoba.ca

JOB DESCRIPTION: The primary task of this position will be to model gene flow and the demography of the invasion at the best resolution our data affords, and to test for signatures of selection associated with candidate loci for lampricide resistance.

We also want to stress that the PDF will have the opportunity to develop and pursue other research questions of their own interests. You will be joining a well funded sea lamprey research program that is jointly led by Margaret Docker, Ken Jeffries, and myself Colin Garroway, and comprised of 2 postdocs, 2 PhD students, and 2 MSc students with additional students working on related questions in other species.

RESPONSIBILITIES: To contribute significantly to and lead experimental design, data interpretation, and statistical analysis related to the above described research objectives.

  • To trial new techniques and assay systems as required and keep abreast of the research literature relevant to the project.
  • Disseminate research through publications in peer reviewed journals.
  • To attend and contribute to research seminars, departmental meetings, and international conferences.
  • Carry out administrative roles as required, e.g. organising physical or remote meetings with collaborators and arranging travel to meetings.
  • Perform professional activities such as refereeing papers, editing journals, refereeing research grants, external examining, organising conferences, committee membership, and involvement with professional bodies.

 QUALIFICATIONS: PhD (current or expected at commencement of contract) in evolutionary biology, computational biology, or genetics.

  • Proven ability to process and analyse next-generation sequencing data.
  • Proficiency with analysis software and programming languages, as well as ability to write or adapt scripts and pipelines for in silico genetic analysis.
  • Ability to work both collaboratively and independently
  • Well-developed leadership and management skills

CONTACT: Applicants should send their curriculum vitae, a cover letter expressing their research experience and research interests, and the names of three referees by email to:

Colin Garroway
Assistant Professor
Department of Biological Sciences,
University of Manitoba
garroway-lab.com
Colin.garroway@umanitoba.ca

The University of Manitoba is strongly committed to equity and diversity within its community and especially welcomes applications from women, racialized persons/persons of colour, Indigenous peoples, persons with disabilities, persons of all sexual orientations and genders, and others who may contribute to the further diversification of ideas. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

Application materials, including letters of reference, will be handled in accordance with the protection of privacy provision of The Freedom of Information and Protection of Privacy (Manitoba). Please note that curriculum vitae may be provided to participating members of the search process.