Offre de projet de doctorat en écologie arctique/bioinformatique – Date limite: 30 juin 2023

Questions de recherche : 1-modéliser l’impact de la variabilité des perturbations anthropiques sur la phénologie des oiseaux nicheurs de l’Arctique. 2-Quantifier l’impact d’un nouveau développement pétrolier en Alaska, le projet Willow.
Nous voulons notamment mesurer les changements de phénologie d’espèces importantes du Nord à l’aide de données de terrain prises notamment de façon automatique à l’aide de systèmes acoustiques. Le projet sera une combinaison de programmation en bioacoustique, de suivi des populations, ainsi que de manipulations expérimentales. Le projet sera à la pointe de la recherche dans les domaines de l’écologie, de la bioacoustique et de l’apprentissage profond. Le potentiel appliqué est grand et les opportunités d’emplois après le projet sont élevées, car les domaines de l’intelligence artificielle et de l’écologie appliquée sont en plein essor.

Équipe : Nicolas Lecomte, Éric Hervet (Université de Moncton), Rick Lanctot (US Geological Survey), Stephen Brown (National Audubon Society), Paul Smith (Environnement Canada)

Compétences souhaitées :

  • Esprit d’équipe et d’initiative
  • Dossier académique permettant de postuler à une bourse au CRSNG et/ou au FQRNT
  • Modélisation mathématique et informatique
  • Bonne organisation et rigueur dans le raisonnement
  • Bonne capacité de rédaction (en anglais et français)
  • Expérience de terrain en milieu éloigné est préférable
  • Maîtrise des langages de programmation est recherchée (e.g. R, Matlab, Python, C++)
  • Notions d’intelligence artificielle préférables
  • Date de début est flexible mais l’automne 2023 est préférée

Conditions d’admissibilité : Avoir complété(e) un MSc en biologie, écologie, mathématique appliquée, informatique ou domaine connexe.

Contacts : Merci de joindre à votre candidature, une lettre de motivation (une page maximum), un CV (2 pages maximum incluant l’adresse de deux référents joignables par courriel) ainsi que tous vos relevés de notes universitaires. Les dossiers doivent être acheminés à Nicolas Lecomte (Nicolas.Lecomte@umoncton.ca avant le 30 Juin 2023.

Note : Les frais de scolarité pour le doctorat en sciences de la vie à l’Université de Moncton sont pris en charge par l’université pour les citoyens/citoyennes canadien(nes) et résidents(es) permanents(es) du Canada.

Qui contacter ? Merci de contacter Nicolas Lecomte (Nicolas.Lecomte@umoncton.ca)

Exemples de projets connexes :

Christin et al. 2023. “ ArcticBirdSounds: An Open-Access, Multiyear, and Detailed Annotated Dataset of Bird Songs and Calls.” Ecology 104( 6): e4047.

Christin, S, Hervet, É, Lecomte, N. Applications for deep learning in ecology. Methods Ecol Evol. 2019; 10: 1632– 1644. https://doi.org/10.1111/2041- 210X.13256

Post-Doctoral Researchers Terrestrial Mammal Ecology, University of Victoria, School of Environmental Studies- Application deadline: 14 June 2023

Term:                    
September 1st 2023 – August 31st 2024. Extension possible.

Compensation:       
$60,000 CDN / year: Field work and conference budgets supplied.

Location:                
Victoria, British Columbia. Remote work is negotiable. The Lab:       The ACME Lab is a united group of researchers examining mammal ecology from the Arctic to the urban Canadian south. We are located at the beautiful University of Victoria and have a track record of publications in high-impact journals, For more information on our team see http://www.acmelab.ca, and more about its Director at http://www.jasonthomasfisher.ca/.

Opportunity:
The Applied Conservation Macro Ecology (ACME) Lab is hiring three post-doctoral researchers in terrestrial mammal ecology in two focal areas:

1. Boreal mammal communities’ response to landscape change. Working with researchers in the Oil Sands Monitoring Program and the Whitefish Lake First Nation, the PDF will lead field research, analysis, and reporting on the effects of landscape change on boreal mammal communities. The focus is on density estimation and community-scale multi-species modelling to explore landscape and population ecology using camera-trap data. The PDF will contribute to funding deliverables but with wide scope for original thought and contributions.

2. Urban ecology of black-tailed deer. Working with our wildlife veterinarian and team of technicians, the PDF will lead analysis on urban black-tailed deer ecology on southern Vancouver Island, where are conducting experiments in population reduction and testing hypotheses about population response in different landscapes with different degrees of permeability. The PDF will contribute to funding deliverables but again with a wide scope.

Several multi-author publications are expected of each, and we will work as an integrated team to achieve this. Our research is highly collaborative.

Send Applications to by 14 June 2023 to Dr. Jason T Fisher at fisherj@uvic.ca, including:
1. A CV that highlights your analytical and publishing skills;
2. A brief description of research goals and ideas for future work.

We believe diversity drives science. We celebrate multiple approaches and points of view.
In the ACME lab, difference is valued. Join us.

Postdoctoral Fellowship quantifying American black duck reproductive metrics and Canadian boreal forest environmental covariates, University of Saskatchewan – Application deadline: 16 June 2023

The Department of Biology at the University of Saskatchewan is seeking a two-year postdoctoral fellow to lead a project focused on quantifying reproductive metrics in American black ducks, with hypothesis tests of environmental drivers on breeding areas. We anticipate the postdoctoral fellow will use machine learning algorithms to retrospectively assess egg-laying, full-term incubation and brood-rearing in black ducks, using GPS and acceleration (ACC) data from tracking devices fitted to individual females. Black ducks nest primarily in the eastern Canadian boreal forest, a large remote region where assessing reproductive success with field crews is not practical. While machine learning algorithms have been widely used to classify behaviours from ACC data, they have not been customized for reproductive metrics. The postdoctoral fellow also will determine feasibility of environmental covariates in the Canadian boreal forest (e.g., spatial layers for beaver ponds, commercial logging) for hypothesis tests about the reproductive period. We have deployed 200 devices and anticipate another 300 devices will be deployed in the next two years to collect information about the reproductive period. The devices collect GPS information every hour and ACC information every 10 minutes. The postdoctoral fellow will work closely with a PhD student studying the full annual cycle for black ducks.

There are other projects in our group using similar GPS-ACC devices on Atlantic brant and greater white-fronted geese to assess the reproductive period in the context of annual cycle movements, behaviour and habitat use. The postdoctoral fellow will work with graduate students on those projects to develop best practices for using machine learning to identify reproductive metrics. We anticipate broad applicability of results for studying migratory birds that are cryptic or nest in inaccessible areas. In addition, there will be opportunities to collaborate on and lead other projects linking population and individual processes in migratory birds in the Weegman lab.

This project is an international partnership among the Black Duck Joint Venture, Canadian Wildlife Service, University of Saskatchewan, US Fish and Wildlife Service and member states of the Atlantic Flyway (Connecticut, Maine, Maryland, Massachusetts, Delaware, New Jersey, New York, Pennsylvania, Virginia).

Minimum qualifications:
Ph.D. in statistics, wildlife ecology or closely related field
Skills in Program R
Demonstrated excellence in verbal and written communication
Ability to work independently and as part of a research team

Preferred qualifications:
Skills in JAGS
Experience forming and running machine learning algorithms, demographic and animal movement models
Knowledge and experience in avian ecology

Salary and benefits: Approximately $65,000 Canadian per year plus benefits
Start date: 1 September 2023
Last date to apply: 16 June 2023
To be considered for this position, please send a cover letter, curriculum vitae, research statement and contact information for three references to Dr. Mitch Weegman (mitch.weegman@usask.ca).

Postdoctoral Fellowship on metapopulation dynamics of midcontinent snow geese, University of Saskatchewan – Application deadline: 16 June 2023

The Department of Biology at the University of Saskatchewan is seeking a 2-year postdoctoral fellow to lead a project using all available demographic and population survey information for five subpopulations of snow geese in the Canadian Arctic and subarctic, including Queen Maud Gulf, Baffin Island, Southampton Island, La Pérouse Bay and James Bay, to quantify survival, productivity, and abundance, as well as emigration and immigration rates among subpopulations in an integrated metapopulation model (IMM). We will use the IMM to determine the demographic mechanism(s) for metapopulation change as well as subpopulation change. We also will use the IMM to conduct hypothesis tests about the environmental drivers of within and among colony variation in population dynamics. These products will contribute substantially toward ongoing assessment of midcontinent snow goose dynamics, which could inform management decisions and conservation planning. We anticipate the IMM will be extended to include Ross’s geese, given the two species co-occur and a large amount of data also exists for Ross’s geese in the years of our studies. Lastly, we anticipate the IMM could be useful for scenario-playing to predict the continued influence of climate change, land use and harvest on snow goose demography.

There will be opportunities to explore related research questions and collaborate on several projects in population and movement ecology in the Weegman lab. This project is an international partnership among researchers at Environment and Climate Change Canada, US Fish and Wildlife Service, Ontario Ministry of Natural Resources and Forestry, The American Museum of Natural History, Central Flyway Council, Mississippi Flyway Council, and the University of Saskatchewan.

Minimum qualifications:
Ph.D. in statistics, wildlife ecology or closely related field
Skills in Program R
Demonstrated excellence in verbal and written communication
Ability to work independently and as part of a research team

Preferred qualifications:
Skills in JAGS, NIMBLE, Stan
Experience forming and running integrated population models
Knowledge and experience in avian ecology

Salary and benefits: Approximately $65,000 Canadian per year plus benefits
Start date: 1 Sept 2023
Last date to apply: 16 June 2023

To be considered for this position, please send a cover letter, curriculum vitae, research statement and contact information for three references to Dr. Mitch Weegman (mitch.weegman@usask.ca).

MSc/PhD studentship: University of Saskatchewan – Application deadline: 16 June 2023

Development of full annual cycle models for Arctic-nesting geese using state-of-the-art tracking devices for holistic conservation planning

Description: An MSc or PhD studentship is available with Dr. Mitch Weegman in the Department of Biology at the University of Saskatchewan (https://www.ducks.ca/our-work/science/saskatchewan-endowed-chair/). The student will use state-of-the-art tracking devices deployed on mid-continent white-fronted geese to conduct research in movement and population ecology.

This project is an international partnership among the Arkansas Game and Fish Commission, Louisiana Department of Wildlife and Fisheries, Kansas Department of Wildlife and Parks, Mississippi Department of Wildlife, Fisheries and Parks, Texas Parks and Wildlife Department, Environment and Climate Change Canada, US Geological Survey, US Fish and Wildlife Service, Chinese Academy of Sciences, Texas A&M University-Kingsville, and University of Saskatchewan. Our project goals are to quantify habitat use and the degree of inter- and intra-winter movements of white-fronted geese within and among wintering sites, and assess the extent to which variation in migration attributes (e.g., staging and wintering habitat use) explains variation in nesting propensity and reproductive outcomes. We anticipate the student will explore bird decision-making during subarctic staging, which is a relatively unknown period of the annual cycle. Based on tracking devices currently on individuals, we anticipate collation of millions of data points providing examples of individual decision-making. Using multi-year data, the student will develop full annual cycle models for the first time for these birds, yielding novel opportunities for conservation planning.

Prerequisites: Ideal candidates will have an undergraduate degree in ecology, statistics or a closely related field, and interpersonal skills to lead discussions among collaborators. Preference will be given to those with a strong quantitative background (e.g., experience with Program R, Bayesian methods), knowledge of migratory bird ecology and management, and field skills (e.g., capturing and handling birds). Students must have a valid driver’s license. The successful applicant will be expected to publish manuscripts in peer-reviewed journals and present papers at scientific meetings.

Salary and benefits: $35,000 Canadian per year plus compensation for tuition and fees

Start date: 1 Sept 2023 or 1 Jan 2024

Last date to apply: 16 June 2023

To be considered for this position, please send the following (preferably as a single PDF) to Dr. Mitch Weegman (mitch.weegman@usask.ca):

(1) Letter of interest summarizing your experience, (2) Curriculum vitae or resume, (3) University transcripts (unofficial are OK), (4) Contact information for three references.

Postdoctoral fellowship in population ecology of migratory birds – Application deadline: 16 June 2023

The Department of Biology at the University of Saskatchewan is seeking a 2-year postdoctoral fellow to lead two projects focused on population ecology of migratory birds:

Project 1: We will develop novel population models for mourning doves in Missouri to guide harvest and conservation decisions. This project is a collaboration with Tom Thompson (Missouri Department of Conservation) and Dr. Tom Bonnot (US Fish and Wildlife Service). The postdoc will focus on estimating demographics, including survival, productivity, harvest and movements. In addition, we seek to prioritize collection of data sets that contribute most strongly to demographic estimation and monitoring in future years.

Project 2: We will use all available demographic and population survey information collected since 1961 for the population of barnacle geese that breed in Greenland and winter in Ireland to estimate demographic rates and abundance in an integrated population model. We will identify demographic contributions to population growth rate, and test hypotheses about how land use and climate change are influencing barnacle goose population dynamics.

There will be opportunities to explore related research questions and collaborate on several projects in movement and population ecology in the Weegman lab.

Minimum qualifications:
Ph.D. in statistics, wildlife ecology or closely related field
Skills in Program R
Demonstrated excellence in verbal and written communication
Ability to work independently and as part of a research team

Preferred qualifications:
Skills in JAGS, NIMBLE, Stan
Experience forming and running integrated population models
Knowledge and experience in avian ecology

Salary and benefits: Approximately $65,000 Canadian per year plus benefits
Start date: 1 September 2023
Last date to apply: 16 June 2023

To be considered for this position, please send a cover letter, curriculum vitae, research statement and contact information for three references to Dr. Mitch Weegman (mitch.weegman@usask.ca).

Quantitative Ecologist, Youth in Natural Resources ECO Canada Internship – Application deadline: June 16, 2023

Organization: ApexRMS

Internship duration:  6 months

Eligibility: Candidates must meet the eligibility criteria for the ECO Canada’s Youth Employment in Natural Resources Program. Please check your eligibility by completing this quiz.

Start date: Between June 19 and September 1, 2023

Location: Virtual (based anywhere in Canada)

Description: This is a unique opportunity for individuals to experience being part of a dynamic, fast-paced organization working at the forefront of applied ecology and natural resource management. The candidate will be embedded into our team of M.Sc. and Ph.D. environmental scientists and software developers as we deliver user-friendly forecasting models of landscape change, ecosystem carbon dynamics, forest fire risk, and wildlife habitat to world-leading conservation agencies such as the U.S. Geological Survey, Canadian Forest Service, U.S. Forest Service, U.S. National Parks Foundation, and The Nature Conservancy. The candidate’s work will include (a) preparing and analyzing spatial forest datasets; (b) developing environmental forecasting models; and (c) delivering these models to natural resource managers and policymakers. The models will be integrated into our company’s SyncroSim software platform which will allow natural resource managers to compare the effects of alternative climate and management scenarios on future forests, habitat suitability/connectivity, carbon stocks and emissions, and fire risk. The candidate will learn tools and techniques for developing effective open-source forecasting models, along with skills necessary to prepare and analyze large spatial datasets. This will include training in programming languages such as R and Python. As part of working with a small consulting company, the candidate will also gain hands-on experience in collaborative science, project management, and communicating environmental science to decision-makers. Successful interns will have the opportunity to continue as a full-time employee with the company.

Duties:

  • acquiring and processing environmental data from various sources including online repositories
  • working with spatial data in programming languages and tools such as R, Python, GDAL, QGIS, Google Earth Engine
  • analyzing data and developing forecasting models in R and Python
  • collaborating with software developers and scientists
  • communicating science to decision makers (e.g., through online documentation and presentations)

Application: Interested applicants should email the following information (as a single pdf) to careers@apexrms.com: a 1-page statement of interest including a proposed start date and confirmation that you are pre-approved for funding, CV, and contact information for three professional references.

Application deadline: June 16, 2023
Applications will be processed on a first-come, first-served basis beginning June 1, 2023.

Four graduate student positions available at the University of Alberta in the areas of Grassland Ecology & Climate Change

We are recruiting four graduate students (one MSc and three PhD) to join a well-funded multi-investigator project focused on understanding climate-impacts of alternative grazing practices in grassland ecosystems. At the core of this initiative is a very large, replicated, grazing experiment conducted at two locations in Southern/Central Alberta. Team members will measure many aspects of these complex systems, including GHG emissions, soil C dynamics, vegetation responses, enteric methane production, soil genomics and metabolomics, and other key variables.

The field work for this project will begin in Spring 2024, and thus candidates that should be able to arrive in Edmonton and begin their program no later than a Jan 2024 in-person start date (Sept 2023 preferred).

These are highly interdisciplinary positions, and thus we are particular interested in intellectually curious, independent, and creative students who are keen to help develop data-driven approaches to facilitate decision making. Further, this research is highly collaborative and all students will work closely with each other and additional team members. Though the project provides an overall direction students will be given substantial opportunity to develop additional research questions and directions.

This project is suited for individuals interested in research at the intersection of discovery and real-world application. Through collaborations with numerous private-operators, there will substantial opportunity to test the generalizability of research findings well beyond the confines of a single experiment.

We are committed to the principles of equity, diversity and inclusion and encourage applications from all qualified individuals, including those belonging to underrepresented groups.

The positions will remain open until a suitable candidate has been found. To express interest, please see the contact information listed for each position.

  1. PhD Student Position Available: Grassland soil microbiome responses to grazing.

Cahill Lab (https://cahilllab.ca/), Department of Biological Sciences, University of Alberta, Canada

This PhD student will lead the soil genomics/metabolomics aspects of the experiment, working closely with other students (e.g., those focused on vegetation dynamics and soil C) and PIs. The soil microbiome has strong impacts of plant growth, nutrient cycling, and GHG emissions. Thus, to understand climate impacts of grazing requires a detailed understanding of soil microbes. This work will combine both barcode descriptions as well as functional gene analyses to understand the composition and function of the soil microbiome. Demonstrated experience (research and/or coursework) in genomics (amplicon-based and/or shotgun metagenomics) is an asset. Additional fields of relevance include bioinformatics, community ecology, plant-soil interactions, microbiome-function, rangeland ecology, and climate change biology.

PhD position, Forest resource analysis and management planning – Application deadline: 11 June 2023


We are seeking a PhD student interested in forest resource analysis and management planning to work on a project investigating and developing novel resource and planning models. The successful candidate will join a team at the University of New Brunswick and Natural Resources Canada – Canadian Forest Service who are developing a long-term strategic-level forest management plan for a military base. The plan will accommodate military training needs, fire risk, environmental compliance (e.g. Species At Risk), and other values such carbon storage, while considering the effects of climate change. The PhD student will build, develop, and evaluate forest projection models that integrate succession, climate change, and silviculture to predict future forest condition. The project will provide the opportunity to explore and research novel analytical methods of land inventory analysis, spatial simulation modeling, optimization, and trade-off analysis for a wide-range of objectives and indicators. Specific outcomes and research direction will be driven largely by student interest providing the opportunity to make advances in both theoretical and/or applied research. The successful candidate will be encouraged to develop their own research questions related to forest management and planning that can be addressed in a modelling/simulation framework and/or with targeted field experiments. Results from this work will be used to inform land management locally, and to inform a national strategy for land management on military bases.

Interested candidates are encouraged to contact Dr. Anthony Taylor (Anthony.taylor@unb.ca) or Dr. Chris Edge (christopher.edge@nrcan-rncan.gc.ca) to discuss the position.

Official applications are accepted through the Government of Canada Job Portal (https://emploisfp-psjobs.cfp-psc.gc.ca/psrs-srfp/applicant/page1800?toggleLanguage=en&poster=1975489).

Application deadline 11 June 2023

We offer competitive compensation equivalent to NSERC PGSD ($21,000) plus tuition costs (~$10,000).

Open Position: Coastal Climate Solutions Leaders Program Coordinator – Application deadline: June 1, 2023

Start date: July 3, 2023 or ASAP thereafter;
Salary: Commensurate with experience and level of education, full time preferred (option for part-
time), with benefits package;
Duration: 1 year contract with possibility of renewal for up to 5 years
Location: Victoria, BC, Canada
Application deadline: June 1, 2023 5pm PDT

Position Overview: We seek a Program Coordinator for an NSERC-CREATE funded graduate training
program, CCSL: Coastal Climate Solutions Leaders. Bridging across the sciences, engineering, social
sciences, business, and law, this new program will deliver enriched interdisciplinary and intersectoral
training to prepare the next generation of leaders with the knowledge, experience, and skills needed to
rise to the challenge of climate change. CCSL spans across 6 faculties, and 19 departments and
institutions at the University of Victoria, and benefits from a broad network of climate solutions partners
within government, industry, and non-profits, including B.C.’s Climate Action Secretariat, the Canadian
Climate Institute, and the United Nations through UVic’s CIFAL.

Click here for more information.