Doctorat en écologie évolutive/bioinformatique – McGill University – MacDonald Campus

Cadre d’études

Le laboratoire de génétique et de génomique des populations de poissons (FPG2) du Département Natural Resource Sciences à l’Université McGill, est à la recherche de candidatures d’étudiants intéressés à poursuivre un doctorat en bioinformatique, en phylogénomique comparative et en génomique des populations. Une majorité du travail consistera en l’assemblage de novo et l’annotation des génomes à partir de longues séquences générées, ainsi qu’en effectuant des sondages de séquençage RAD et / ou ARN des populations. Bien que l’expérience de travail sur le terrain ne soit pas requise, il existe un fort potentiel pour les étudiants de participer à des échantillonnages dans les environnements marins côtiers et extracôtiers de l’Arctique, ainsi que dans d’autres régions locales.

Compétences

Les candidats doivent avoir une formation académique en écologie évolutive, en génétique et / ou informatique / bioinformatique. Ils doivent être indépendant avec une forte éthique de travail. Une compétence dans le langage de programmation R est recommandée (la connaissance pratique du Python / C ++ est également bénéfique). Une connaissance des grappes de calcul à haute performance (HPCC) basées sur le Linux / Unix et l’utilisation de progiciels bioinformatique (e.g., SOAP, Geneious, CLC genomics workbench et GATK entre autres) seraient un atout. Le/la candidat(e) retenu(e) doit également posséder de solides compétences en laboratoire et en relations interpersonnelles lui permettant de bien travailler en équipe.

Le département

Natural Resource Sciences (NRS) est un département multidisciplinaire basé au campus Macdonald à Ste-Anne-de-Bellevue Québec, Canada (http://www.mcgill.ca/nrs/). L’Université McGill offre des bourses d’études supérieures concurrentielles, y compris des dispenses de frais de scolarité et des exemptions de frais de visa (pour les étudiants étrangers admissibles) selon les notes de scolarité et l’expérience de recherche (voir les sites ci-dessous).

– http://www.mcgill.ca/internalawards/
– http://www.mcgill.ca/gps/funding/students

Bien que des fonds soient disponibles pour soutenir un étudiant au doctorat, l’étudiant(e) éventuel(le) devrait faire l’objet de demandes pour des bourses nationales / provinciales et / ou des bourses d’études supérieures institutionnelles.

Application

Pour postuler, veuillez envoyer un CV récent, des copies non-officielles des relevés de notes académiques, une brève description de vos intérêts de recherche (~ 1/2 page), et des contacts pour 2 ou 3 références. Les candidatures seront considérées jusqu’à ce que le poste soit approvisionné, mais la priorité sera donnée aux applications reçues avant le 1 juillet. Les demandes électroniques (PDF seulement s’il vous plaît) peuvent être envoyées à:

denis.roy5[at]mcgill[dot]ca
Denis Roy
Assistant Professor
Macdonald-Stewart Building
21111 Lakeshore Road
Ste. Anne de Bellevue, Quebec
H9X 3V9
FPG2 Lab webpage: http://denisroy.weebly.com

SHORT-TERM CONTRACT FOR DATA ANALYSIS AND WRITING WITH WCS CANADA’S FRESHWATER CONSERVATION PROGRAM

WCS Canada is seeking a scientist (PhD‐level or equivalent experience) to assist the Freshwater Conservation Scientist with data analysis and scientific writing. This is a short‐term contract position (18 weeks; $20,000) that will support WCS Canada’s Freshwater Conservation Program in Ontario’s Northern Boreal landscape. Data analysis will focus on analyzing fish physiological data and fish movement data (i.e., field acoustic telemetry) using appropriate statistical approaches. Scientific writing will focus on editing scientific writing related to spatial analysis, and assisting with policy comments on relevant freshwater topics (e.g., Canadian federal Fisheries Act, Ontario bait policy, Ontario wetlands policy). Preferred start date is 18 September 2017 (negotiable). All work can be performed remotely. Deadline for application 15 August 2017.
Position Objectives:
Support the implementation of goals and objectives in the Freshwater Conservation Strategy for Ontario’s Northern Boreal, specifically:
1) Addressing direct and cumulative impacts of land‐use (mining, hydroelectric development, infrastructure) on freshwater resources, particularly lake sturgeon;
2) Applying freshwater conservation planning tools in support of local and regional land‐use planning; and,
3) Promoting freshwater conservation in policy, planning, and legislation affecting Ontario’s Northern Boreal landscape.
Principal Responsibilities:
1)  Analyze fish physiology and movement data using appropriate statistical approaches and prepare results for public presentation. Use of R for data analysis and data presentation (e.g., graphs, figures) is strongly preferred.
2) Edit a draft scientific manuscript and prepare for submission to a peer‐reviewed outlet.
3) Assist the Freshwater Conservation Scientist with policy comments on relevant topics (e.g., Canadian federal Fisheries Act, Ontario bait policy, Ontario wetlands policy).
Qualifications:
- Ph.D. or equivalent experience in freshwater ecology, fisheries ecology, or aquatic conservation.
– Demonstrated ability to analyze data and presentation using appropriate statistical techniques in R.
- Demonstrated ability to write for a scientific audience and prepare manuscripts for publication in peer‐reviewed outlets.

- Excellent oral and written communication skills for diverse audiences.

To Apply:
Please send cover letter, resume/cv (including contact information for 3 references) together with a brief and relevant example of your written work to WCS Canada by email or mail by 15 August 2017:
By email: wcscanadahr@wcs.org with the subject “FRESHWATER CONTRACT”
By mail: Human Resources, Wildlife Conservation Society Canada, 344 Bloor Street West, Suite #204, Toronto, Ontario, Canada, M5S 3A7
About WCS Canada:
WCS Canada (www.wcscanada.org) was established as a Canadian conservation organization in July 2004. Our mission is to conserve wildlife and wild places by improving our understanding of and seeking solutions to critical problems that threaten key species and large wild ecosystems throughout Canada. We implement and support comprehensive field studies that gather information on wildlife needs and then seek to resolve key conservation problems by working with a broad array of stakeholders. We also provide technical assistance and biological expertise to local groups and agencies that lack the resources to tackle conservation concerns. WCS Canada is independently registered and managed, while retaining a strong collaborative working relationship with sister Wildlife Conservation Society (WCS) programs in more than 60 countries.

PHD POSITION IN THEORETICAL COMMUNITY ECOLOGY

We are seeking an enthusiastic candidate with a strong academic record to undertake a PhD in theoretical ecology on the effect of landscape connectivity on the diversity and trophic structure of forest ecological communities.

Project summary: Anthropogenic transformations of landscapes impact ecological community in complex ways. Understanding the relationship between spatial and temporal biodiversity patterns and the processes of habitat loss, degradation and fragmentation constitutes an important challenge for preserving the functioning and structure of forest ecological communities. As part of this project, the student will be in responsible for developing a dynamical model to study the influence of habitat connectivity and species dispersal on diversity and trophic structure within forest metacommunities.

The candidate will enroll in the PhD program in biology and will join the Center for Forest Research under the supervision of Élise Filotas (TÉLUQ) and Daniel Kneeshaw (UQAM).
Starting date: Fall 2017.
Stipend: 20,000$/year for 3 years.

Expertise/ Profile required

  • MSc in biological sciences or related disciplines *AND* good knowledge and skills in modelling and quantitative analysis.

OR

MSc in mathematics or physics *AND* a high motivation to learn community ecology.

  • Familiar with computer programming (R, matlab, C or python).
  • Independent, rigorous and excellent skills in analysis and problem solving.
  • Be able to work and write in French and English (or motivation to do so).

Applicants should provide a copy of their CV and transcripts, a short motivation letter (max 1 page), and the contact information of two referees to: elise.filotas@teluq.ca. Applications will be considered until the position is filled.

1 MSc and 1 PhD In Conifer Genomics and Physiology – Open Immediately

The Ensminger Lab in the University of Toronto’s Department of Biology seeks MSc and PhD student candidates to join an exciting large scale research project on climate adaptation in conifers. As climate change is impacting forest health and productivity, this project is using genomic tools combined with experiments testing the resistance of trees to heat, cold and drought stress. Expected results will help select and plant trees that will be healthy in new climates in Canada.

DUTIES

The successful candidates will work in the project “CoAdapTree” and investigate the function of genes involved in climate adaptation. A combination of phenotyping and RNASequencing approaches will be used to validate climate relevant candidate genes and their contribution to cold hardiness, drought hardiness and heat stress responses. Candidates are expected to work in an interdisciplinary research project with collaborators at the University of British Columbia, the University of Calgary and the Ministry of Forests, Lands and Natural Resources, British Columbia.

PROFILE

Candidates should have a background in plant biology or physiology, molecular biology or a related discipline and should have strong quantitative and writing skills. Experience or an interest in learning programming languages such as Python, and Rcran tools for the analysis of large data sets is required.

HOW TO APPLY

Please send your application electronically as a single PDF to Ingo Ensminger (ingo.ensminger@utoronto.ca). Use the words “Grad Students Conifer Genomics” in the subject line of your email. Please include a cover letter with a brief statement of your research interest (max. 1 page), your CV, and contacts of two references. Review of applications will begin immediately and continue until the positions are filled. Possible starting dates are between April 2017 and September 2017).

For more information on the project please contact Ingo Ensminger (ingo.ensminger@utoronto.ca, +1 905 569 4599) or check http://www.utm.utoronto.ca/ensminger/.

All CSEE Bulletins (2007-2015)