We are seeking a highly motivated postdoctoral fellow interested in community ecology, biogeography, macroecology or biodiversity science more broadly. The general theme would fit under developing and testing ecological and/or evolutionary principles that underly the structure of ecological communities and biodiversity. The postdoctoral researcher will be based at Concordia University (Montreal, Canada) and there are outstanding opportunities for collaborating with our large national and internationalnetworks. Montreal is a world centre of expertise in biodiversity science and the fellow will be a member of the Quebec Centre for Biodiversity Science (https://qcbs.ca/). Montreal is a fantastic city for individuals and families with relatively low cost of living. Feel free to contact JP Lessard (email@example.com) and Pedro Peres-Neto (firstname.lastname@example.org) about the position. Information on how to apply can be found at:https://bit.ly/3adq7hp.
Location: Department of Biology, University of Saskatchewan, 112 Science Place, Saskatoon, SK S7N 5E2, Canada (initial appointment may be based on remote work due to immigration and COVID-19 travel restrictions)
Duration: 1 year (based on funding in place), starting asap (or as negotiated)
Salary: $50,000 CAD/year, inclusive of benefits
Description: We are looking for a postdoctoral fellow with Ph.D.-training in population ecology and familiarity with integrated population models (IPMs). Background in the ecology of large-herbivore populations will be an asset. The fellow will be principally charged with applying IPM-approaches to wild bison of northern Canada (Yukon), with the goal of estimating population size, trend, vital rates (age-structured survival and reproduction) and sustainability of harvest. In addition, we seek to prioritize collection of future datasets to optimize demographic estimation and monitoring in future years. Data available for developing a quantitative framework to bison-harvest management include detailed records on captures and fates from close to 200 radio-collared bison conducted over 31 years (1988–-2019); age-at-harvest data for about 2000 animals harvested from 1998–2019; mark-recapture population estimates from 2007, 2009, 2011, 2014, and 2016; and calf:adult ratios for most years. This is a collaborative project with local bison managers and opportunities for engagement with Indigenous communities, government biologists, and the hunting community in Yukon.
Further to the above, the fellow will have the opportunity to contribute to theory on IPM development using a reference population of feral horses (Sable Island, Canada; ongoing 15-year, whole-island individual-based dataset of life histories [~1300 life histories, N = 500 horses]), and assist in developing an IPM for a free-ranging feral horse population in Alberta, Canada. Additional opportunities and latitude to conduct research using these datasets is anticipated (on the general topic of density dependence in theoretical and applied large mammal ecology).
Depending on funding availability, this 1-year post-doc may be extended presenting additional opportunities to collaborate on projects in theoretical and applied (large) animal ecology (species of focus may include feral horses, bison, caribou, etc.). The post-doc will have access to devoted office space, campus resources, and required technology (although initially work must be expected to be conducted remotely due to COVID-19 restrictions).
1. Ph.D. with a focus on quantitative methods in population ecology;
2. Experience with demographic studies in both frequentist and Bayesian frameworks;
3. Experience in using mark-capture-recapture models;
4. Demonstrated proficiency with R and excellent programing skills;
5. Demonstrated desire and proven ability to publish in peer-reviewed journals;
6. Excellent written and personal communication skills;
7. The ability to work independently as well as collaboratively.
Closing: Please submit application materials by Oct 31, 2021.
Apply: Email to email@example.com and firstname.lastname@example.org. Please write “Postdoctoral Fellowship” as the subject line. Include in your email a motivation letter, CV, and contact information for two references. Short-listed applicants will be interviewed online.
About us: http://mcloughlinlab.ca/lab/
The Postdoctoral Research Assistant will join the 4D Oceans Research Lab (https://www.4d-oceans.com/) in the School of Ocean Technology at the Fisheries and Marine Institute of Memorial University, St John’s, Canada, and play a key role within the ‘Benthic ecosystem mapping for sustainable ocean stewardship in a shifting ocean climate (BEcoME)’ project (https://oceanfrontierinstitute.com/research/become). This role will focus on the development of classification approaches for ultra-high resolution 3D point clouds of complex underwater features and organisms (e.g. cold-water corals). New technologies such as structure-from-motion and color laser scanners have the potential to provide high resolution 3D representations of individual coral colonies whose growth could be monitored over time. Development of automated approaches for the classification of such data would expedite large surveys, and facilitating long-term monitoring. In addition, the Postdoctoral Research Assistant will have a unique opportunity to contribute to a planned Schmidt Ocean Institute expedition aimed at understanding the environmental drivers of vertical cliff ecosystems in the Galapagos. We are looking for applicants who have demonstrated experience and a good research track record in 3D point cloud processing, classification and interpretation for ecological purposes.
- Test new underwater remote sensing tools (e.g. structure from motion, RGB laser scanner) for species identification and survey of habitat quality
- Develop and apply 3D point cloud segmentation and classification approaches to produce robust 3D habitat maps of complex marine environments
- Participate in data collection operations
- Work collaboratively with researchers spanning a range of discipline to achieve a comprehensive understanding of the ecosystems studied
- Contribute to the development of graduate student thesis project in the field of seafloor and habitat mapping
- Contribute to the dissemination of project results (e.g., participation in scientific conferences, publication in peer-reviewed scientific journals, knowledge transfers with industry)
To be successful in the role, your application will need to demonstrate;
- A PhD in seafloor mapping, remote sensing, geomatics, computer vision or which involved the significant use of 3D point clouds.
- A strong publication record in relevant fields, familiarity with ecological principles and/or the marine environment will be considered an asset.
- Experience with statistical approaches, machine learning techniques and programming languages
- A record of collaborative work on multi-disciplinary projects
Closing date: until fulfilled
Prospective start date: May 2022
Salary: 45,000 CAD
Duration: 2 years
Please visit: https://www.mi.mun.ca/graduateopportunities/
To apply: Please send cover letter and CV to Dr Katleen Robert at Katleen.email@example.com
The FastPheno project is soliciting applications for several postdoctoral and fully funded grad student positions. This project will combine the next generation of high-throughput drone-based phenotyping platforms, plant ecophysiological and genomics approaches to understand forest dynamics and tree resilience to climate change impacts. The positions are part of a large project with researchers from the University of Toronto, Université Laval, Natural Resources Canada and the Ministère des Forêts, de la Faune et des Parcs du Québec.
We are looking to hire postdocs and grad students with complimentary skills and interests. Successful applicants will work in Toronto or Quebec in an interdisciplinary team of researchers of the four participating organizations in a highly collaborative environment. If you have a background or interest in one or several of the following areas, you should send us your application: Plant biology, ecophysiology and ecology of trees, remote sensing, tree genetics and genomics, data sciences, bioinformatics, and statistical modeling.
I. Postdocs (two positions) remote sensing of vegetation and ecophysiology
The postdoctoral fellows will take leads in the FastPheno project activities on drone-based collection and processing of hyperspectral and LiDAR data from multiple experimental field sites and forest stands located in Quebec and Southern Ontario. Candidates must hold a PhD in remote sensing, plant biology, forestry, or a related field. Strong background in photosynthesis, ecophysiology, leaf traits, remote sensing and big data analysis and experience with machine learning algorithms is required. Experience with retrieval of plant physiological and structural information using hyperspectral or LiDAR information is an advantage.
II. Postdoc (one position) statistical modelling and integration of adaptive traits for genomic selection
The postdoctoral fellow will take leads in the FastPheno project activities on developing and validating the relationship between adaptive traits and drone derived data and refine prediction models of phenology from phenotype trait data. Candidates must hold a PhD in bioinformatics, biostatistics, or a related field. Strong background in advanced bioinformatics, statistical genomics, and model-data integration is required. Experience with plant biology, molecular ecology, genomic selection models and machine learning algorithms is an advantage.
III. Postdoc (one position) integration and visualization of genotype and adaptive trait phenotype data
The postdoctoral fellow will take the leads in the FastPheno project activities aiming to implement a new data browser and visualization tool which integrates genomic resources and drone derived phenotype data. Candidates must hold a PhD in bioinformatics, environmental informatics, computer science or a related field. Strong background in plant biology, database design, data visualization and experience with scripting languages (e.g., Python, Rcran tools, Matlab) is required. 2
Postdoctoral candidates must have received their PhD after January 2018 Candidates must have strong verbal and written communication skills, willingness to work independently and in a collaborative team environment, and proven capability to publish in peer-review journals.
IV. PhD students (five positions) forest dynamics – growth, canopy structure and ecophysiology
The PhD students will investigate climate adaptation in trees and focus on specific leaf traits. This includes e.g., leaf optical properties, chlorophyll-a fluorescence, and photosynthetic pigments, which will be upscaled to the canopy scale by coupling with drone-derived hyperspectral and LiDAR data. Integration of these data will eventually allow to derive tree level structure and physiology from remote sensing.
PhD candidates must hold an undergraduate or master’s degree in plant biology, forestry, or a related field. Experience in one or more of the following areas: Plant physiology, ecophysiology, plant molecular biology, ecology. Experience or an interest in learning programming languages such as Python, Rcran tools or Matlab for the analysis of large data sets is an advantage.
Potential applicants should send their CV, a list with the names and contact information of 2-3 references and a max. one1 page motivation letter in a single PDF file to firstname.lastname@example.org. Use the words FastPheno Application in the subject line of your email followed by the number (I. to IV.) of the position you are applying for. The Deadline for submitting your application is October 1, 2021, however, applications will be accepted until the positions are filled.
For questions on individual positions or the overall project please email email@example.com.
For questions and further information about the co-investigators and their research use the following email addresses and visit their websites:
Ingo Ensminger: firstname.lastname@example.org, http://www.utm.utoronto.ca/ensminger/
Julie Godbout: email@example.com, https://www.researchgate.net/profile/Julie-Godbout
Nathalie Isabel: firstname.lastname@example.org, https://www.genomiqueforestiere.chaire.ulaval.ca/?page_id=4428#
Ilga Porth: email@example.com, http://www.cef-cfr.ca/index.php?n=Membres.IlgaPorth?userlang=en
Nicholas Provart: firstname.lastname@example.org, http://provart.csb.utoronto.ca/
The honey bee lab (www.yorku.ca/zayedlab) at York University’s Dept. of Biology (Toronto, Canada) has several positions available starting Fall of 2021. Projects include:
1) Ecological genomics and pollinator health: Our group is leading a national initiative called BeeCSI (https://beecsi.ca/) to identify stressor specific biomarkers for use in pollination conservation. We are looking for a postdoctoral fellow with experience in transcriptomics and interest in bee biology to participate in both wet-lab and bioinformatic components of this research.
2) Comparative population genomics of eusocial insects: We are looking for a postdoctoral fellow to study the relationship between genome evolution and social evolution using population genomic datasets on a large number of insects that vary in their social organization.
Starting Salary: $55,000 per year
Qualified candidates are encouraged to submit their CV to Amro Zayed (email@example.com).
In addition to the honey bee lab, York University is home to the Center for Bee Ecology, Evolution and Conservation (BEEc, https://bees.yorku.ca). Successful candidates will have a chance to interact with the diverse faculty, fellows and students at BEEc, and participate in BEEc activities and training initiatives.
Nous avons le plaisir d’annoncer un appel de candidatures du programme
postdoctoral Liber Ero. Le programme Liber Ero soutient des
postdoctorantes et postdoctorants exceptionnels qui désirent relever
d’importants défis de conservation de la nature au Canada. Le programme
vise à former la prochaine génération de scientifiques en conservation
de la nature aux plus récentes méthodes et à leur donner les compétences
nécessaires pour influencer les politiques de gestion des ressources
naturelles et des lieux sauvages du Canada, et améliorer la conservation
de ces derniers.
Le programme Liber Ero est ouvert aux scientifiques de tous les pays qui
désirent travailler à promouvoir les objectifs de conservation du
Canada. Les chercheurs post-doctorants devront œuvrer au sein d’une
organisation (université, organisme) canadienne, et recevoir le support
d’une équipe de mentorat dont les membres proviennent d’organisations
non gouvernementales, du gouvernement, ou d’universités. Les
candidatures sont acceptées dès maintenant et jusqu’au 1er novembre 2021
(date limite). Consultez http://liberero.ca/fr pour plus de détails.
Nous vous invitons à faire circuler cette information auprès de
candidates et candidats éventuels.
Pour en savoir plus sur les boursiers et boursières Liber Ero et leurs
projets, consultez la page suivante: http://liberero.ca/beneficiair
Directrice, Programme postdoctoral Liber Ero
University of British Columbia
Drs. Daniel Heath (University of Windsor) and Kenneth Jeffries (University of Manitoba) have an opening for a Post-Doc to assist in the development of the Stress-response Transcriptional Profiling (STP) chip–a suite of quantitative gene expression assays to assess fish health and responses to environmental stressors. The Post-Doc will coordinate with P.I.s, graduate students, lab managers, and industry professionals from collaborating institutions to develop a robust collection of cDNA, tissue samples, and transcriptomic sequence data for the STP-chip design, testing, and validation.
Candidates are required to have a PhD in Biology or related field, extensive experience with bioinformatic analyses, and practical knowledge of R-based software use. Lab experience with qRT-PCR and RNA-seq analysis is preferred. Exceptional attention to detail, organization, and time-management skills with a track record of success in managing multiple projects and deadlines are essential qualities for this position. A full summary of the functions and duties of the position can be found on our site: https://gen-fish.ca/post-doc-position/.
How to Apply:
Applicants are asked to send an updated CV, representative publications, a cover letter and/or statement describing the candidate’s past experience and accomplishments, interests (generally and with respect to the specifics of this position), and the names and e-mails of at least two references. These materials should be combined into a single pdf document and sent to Dr. Jeffries (Ken.Jeffries@umanitoba.ca).
The Heath and Jeffries labs are committed to increasing gender, ethnic, disciplinary, and cultural diversity. They aim to promote equity, diversity, and inclusion within our field of research in Canada.
The position is expected to start as soon as possible, September 2021.
We will review applications as they arrive, beginning August 2021.
We seek to recruit a motivated postdoctoral researcher to join a collaborative effort between the University of Ottawa and Environment and Climate Change Canada to better understand how to integrate climate microrefugia into networks of protected and conserved areas. The researcher will play a key role in this collaboration, developing a framework and applying methods to provide guidance for biodiversity conservation, including Species at Risk recovery planning. The objectives of the project are to: (1) identify climate-vulnerable species dependent on microrefugia, (2) develop a framework to guide the identification of climate microrefugia in climate-informed conservation planning, and (3) develop guidance on the integration of climate refugia into planning frameworks. The researcher will be mentored by Dr. Heather Kharouba (University of Ottawa, Canada) and Dr. Ilona Naujokaitis-Lewis (National Wildlife Research Centre, Environment Climate Change Canada) and there will be opportunities to work with a diverse set of other collaborators. The location of the position is flexible with remote work possible.
The position is available to be filled as early as September 2021 with a preferred start date no later than October 1, 2021 and is expected to be of 18 months duration, with potential extension to 2 years. Renewal after the first year is contingent upon performance.
Qualifications include: a Ph.D. in ecology, natural resource sciences, conservation biology, or a related field; evidence of publishing in peer-reviewed publications; experience in ecology, one or more aspects of biodiversity conservation, climate change/global change ecology; strong quantitative and computational skills (statistics, GIS, R, github); and excellent communication abilities.
Canadian and international applicants are welcome. The Kharouba and Naujokaitis-Lewis labs are committed to an equitable, diverse and inclusive research environment. Underrepresented groups are encouraged to apply.
Review of applications will begin August 16, 2021 but will continue until a suitable candidate is found. Applicants should send the following: (1) A cover letter that briefly indicates how the applicant meets the criteria, and includes a brief short statement of research interests; (2) Curriculum Vitae; and (3) Names and email addresses of three references. Please send application, and informal inquiries about the position, to Dr. Heather Kharouba (firstname.lastname@example.org).
We currently have two openings at the post-doctoral level, to work on the coupling between biodiversity and ecosystem models in order to develop a flexible, modular simulation toolkit to assist stakeholder-engaged design of biodiversity monitoring networks. The work of these post-doctoral scientists will aim at coupling models of biodiversity status and ecosystem trends, by developing a biomonitoring optimization program that can recommend locations to monitor ecosystem status, within a biological region of interest, that are optimal now and under climate change scenarios, in order to capture relevant changes in biodiversity.
By working closely with the GEO BON secretariat, as well as the nascent Québec-BON, will support the development of a methodology to provide information on the optimal Essential Biodiversity Variables (EBV) and Ecosystem Function Indicators (EFI) to monitor in order to make sound policy recommendations.
Ultimately, this project will result in an assessment of the feasibility of multi-purpose spatial networks of locations that can inform on statuses and trends for biodiversity, with extensions to zoonotic diseases, showing how the methodology of ecosystem sciences translates to ecosystem conservation and global health.
See https://poisotlab.io/opportunities/ for more information.
AIM: Identify the direct and indirect impacts of urban tree diversity on public health to help city-planners reduce the incidence of autoimmune diseases in at-risk populations.
Because this aim is considerable, we seek to constitute a team of members with complementary interests and skills. The specific tasks of each member will be determined at hiring.
OBJECTIVES: Over a gradient of social inequalities in two Canadian cities, we will: (1) compile tree diversity indicators using advanced ground-based and 3D remote sensing approaches; (2) identify and quantify airborne microorganisms, pollen, and volatile organic compounds (VOCs) emitted by urban trees; (3) measure relationships between tree diversity, microbial diversity, pollen, VOCs, and public health (i.e., prevalence of asthma and allergies). Finally, we will (4) disseminate our results through an application that will allow end-users to estimate the health value of city-planning scenarios at the neighborhood level.
Click here for more information