Opportunities are shared free of charge which may be of interest to our membership. Contact us at admin@cspb-scbv.ca to have your job added to our job board!

  • 24 Mar 2022 16:21 | Anonymous member (Administrator)

    Deadline for applications is April 1,2022 and candidates must apply on the NRC website at : Technical Officer, Microbial Fermentation (nrc-cnrc.gc.ca)

  • 23 Mar 2022 13:56 | Anonymous member (Administrator)
    Join the Global Change and Molecular Plant Ecophysiology group of Dr. Ingo Ensminger (www.ensmingerlab.net) in the Department of Biology. We investigate mechanisms that contribute to acclimation and adaptation of plants to changing environmental conditions. Research in our lab has expanded its operations extensively. As a research technician in this position, you will use your biological/technical expertise to support ongoing research activities in a modern plant molecular physiology lab, including the coordination of a large Genome Canada-funded research project.

    You will work closely with other researchers and ensure efficient and consistent operation of the facility, including maintenance, inventory control, developing assays and materials, and participating in collaborative research to ensure the timely completion of project activities, personnel management, and ensure that project milestones and deliverables are achieved. Relying on your sound scientific, technical and your communication skills, you will ensure operational excellence of a multi-disciplinary research program amongst staff, students, research collaborators,research platforms and services.

    For more details on this position and to submit your application, please visit https://jobs.utoronto.ca/job/Mississauga-ON/557430017/ or email ingo.ensminger@utoronto.ca for more information.

  • 11 Mar 2022 14:44 | Anonymous member (Administrator)

        The search committee is looking for candidates with relevant research in one or more of these areas:

        ● Discovery/synthesis of biologically active natural products and their congeners
        ● Synthetic biology approaches to drug discovery
        ● Molecular approaches that couple translational research to clinical trials
        ● Identification of plant-derived bioactive compounds using various model systems (in silico, in vitro, and in vivo)
        ● Plant chemistry, biotechnology and phytochemistry
        ● Clinical trials on the efficacy and safety of botanicals

    The full posting can be viewed at the following link: https://recruit.ap.uci.edu/JPF06993
     

  • 03 Mar 2022 13:05 | Anonymous member (Administrator)

    The Stone lab in the Department of Biology at Dalhousie University is seeking graduate students to investigate the role of the protein ubiquitination in plant response to environmental stress. Interested applicants should send 1) a cover letter, 2) CV including name and contact information for at least two referees, and 3) unofficial academic transcript(s) to Sophia Stone (sophia.stone(at)dal.ca).

    For information on the Stone lab please see: http://stonelab.biology.dal.ca/research.html and https://www.researchgate.net/profile/Sophia_Stone

    Information on graduate studies in the department and university are available at: https://www.dal.ca/faculty/science/biology/graduate.html and https://www.dal.ca/faculty/gradstudies.html

  • 02 Mar 2022 17:30 | Anonymous member (Administrator)
    Title: Research Officer, Computational Biology for the Aquatic and Crop Resource Development Research Centre

    Work Location: Saskatoon

    Closing Date: April 11, 2022 11:59 (EST)

    Candidates apply directly at : https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Saskatoon-Research-Officer-Computational-Biology-SK/556454217/

     

  • 28 Feb 2022 12:29 | Anonymous member (Administrator)

    Position Summary: The Department of Agricultural, Food and Nutritional Science at the University of Alberta currently has a Postdoctoral Fellow opportunity in the Plant Biotechnology lab. We are seeking a highly motivated postdoctoral researcher for a project that focuses on improving the pathogen resistance of canola (rapeseed) via regulating lipid metabolism. The successful applicant is expected to generate transgenic canola lines and test their pathogenic resistance, followed by exploring the disease resistance mechanisms of these genes at the molecular level. For more information about the lab, please visit http://plb.ualberta.ca.

    The initial appointment is for one year with a possibility of renewal for two more years. The earliest starting date will be in April 2022. Review of applications will begin on March 15, 2022 and will continue until the position is filled.

    The successful candidate, when starting the position, must be within 5 years of the completion of their PhD. Proficiency in plant molecular biology techniques such as gene overexpression and genome editing is required. Experience with crop science (e.g. canola), plant pathology, or plant lipid biology is ideal but not required. Applicants must have demonstrated ability to draft manuscripts for publication. The postdoctoral fellow is expected to work independently on this project, but also actively contribute to other projects in the lab.

    Interested individuals should send: (1) a CV; (2) a brief statement of why you are interested in this specific position and how your experience fits (no more than 1 page); and (3) contact information (including telephone numbers and e-mail addresses) of three references to Dr. Guanqun (Gavin) Chen (gc24@ualberta.ca; please cc chenguanqun2000@gmail.com).

    All qualified applicants are encouraged to apply; however, Canadians and permanent residents will be given priority.

  • 24 Feb 2022 12:38 | Anonymous member (Administrator)

    The Integrative Wildlife Conservation lab at Trent University is offering a PhD project on the application of remote sensing technologies for assessing the state of boreal forest structure and function near Kluane Lake, Yukon. For decades, Canada lynx and their prey have been studied in the Kluane region, and the current project extends these investigations into the realm of vegetation and snow dynamics in this rapidly-changing northern landscape. Using a recently-acquired unmanned aerial vehicle equipped with LiDAR, multispectral, hyperspectral, thermal and RGB cameras, we will investigate: 1) how patterns of forest productivity and phenology vary dynamically across space and time; 2) sources of forest heterogeneity and resiliency to climate change and insect outbreaks; and 3) how snow conditions vary through time and affect forest structure and wildlife habitat availability. In addition, this project provides several opportunities and potential collaborations related to: 4) validating cutting-edge remote sensing technologies in forest health assessment; 5) forecasting future boreal forest dynamics under climate change; and 6) relating forest characteristics to the movements and habitat selection of Canada lynx and snowshoe hares that are radio-collared with GPS transmitters. The PhD student will have the opportunity to develop specific research questions within the scope of the larger project.

    Successful candidates MUST have an MSc in Ecology, Remote Sensing, or related field, demonstrated evidence of peer-reviewed publications, strong field and quantitative skills, GIS and related analysis, and an interest in working collaboratively within a large and diverse research group. Additional desirable skills include experience in drone operation and working in remote field conditions.  Start date is ASAP.

    To apply, send a cover letter, curriculum vitae, unofficial academic transcript, and contact information for 3 references to: Dennis Murray (dennismurray@trentu.ca).

    For additional details, see www.dennismurray.ca.

    The position will be filled as soon as a suitable candidate is found.

  • 08 Feb 2022 15:54 | Anonymous member (Administrator)

    Applications are invited for a faculty position at the Assistant Professor or Associate Professor level in the field of bioproducts biotechnology in the Department of Wood Science at the University of British Columbia.

    Full details can be found here: Assistant/Associate Professor in Bioproducts Biotechnology (ubc.ca)

    Deadline March 31, 2022

  • 07 Feb 2022 19:12 | Anonymous member (Administrator)

    Founded in 2012 in a partnership between Nutrien, the Government of Saskatchewan and the University of Saskatchewan (USask), the Global Institute for Food Security (GIFS) works with a diverse range of partners to discover, develop and deliver innovative solutions for the production of globally sustainable food.

    At GIFS, we invest in relevant technology platforms that provide scale and transform our scientific competencies and capabilities into capacities for stakeholders, making us a catalyst for partnerships and innovation world-wide. We have a track-record for managing and delivering on large-scale, multi-disciplinary programs, including the $37-million Plant Phenotyping and Imaging Research Centre (P2IRC) funded by a Canada First Research Excellence Fund (CFREF) grant to USask.

    Located within one of the world’s strongest agri-science ecosystems, we are helping to build a food-secure world from Saskatchewan-out, working with academics, industry, producers, consumers and governments both at home and abroad to decrease the time between the discovery of innovative science and its delivery to market at home and around the globe.

    Primary Purpose

    GIFS is seeking a dynamic and passionate Scientific Software Developer to join a multidisciplinary team focused on root and rhizosphere-based solutions for improved crop health and food production. The incumbent will play an integral role in developing innovative methods for 3D imaging and analysis of plant root system architecture.

    Overview

    Reporting to the Platform Lead, Data Management & Analytics, the Developer will work within the Root-Soil-Microbial Interactions team, led by Dr. Leon Kochian, to develop an advanced 3D root phenotyping platform implementing relevant and cutting-edge computer vision and photogrammetry methodologies. Specifically, the work will focus on the development of the software and computational workflow required for 3D root imaging and analysis including data capture, segmentation, skeletonization, 3D reconstruction and root trait extraction and analysis. The incumbent will collaborate with biological and computational researchers and engineers to identify challenges in current root phenotyping methodologies and support the development and deployment of 3D image acquisition and analysis pipelines for resolving complex root architectural traits. 

    Activities

    • Develop solutions for computational-geometry-related challenges for 3D imaging of root systems.
    • Write and integrate code into existing computational frameworks and high performance architectures.
    • Optimize reconstruction and axis estimation methods for fast and accurate generation of 3D models.
    • Enhance the image analysis workflow and computation of root system traits from 3D representations and support the development and implementation of novel 3D imaging and analysis pipelines.
    • Participate in the training of team members and provide knowledge and technical support to team members.
    • Establish and maintain professional interactions, participatory teamwork, effective communication and a collaborative atmosphere across GIFS technology platforms and scientific programs.
    • Prepare software documentation and reports and participate in manuscript preparation for high-impact publishable research outcomes.

    Education & Experience

    • M.Sc. degree (or higher) in computer science, biophysics, or engineering with focus on computational geometry, optics or closely related fields. An equivalent combination of work-related experience and relevant education will also be considered.
    • Minimum of one year experience in the development of robust, efficient scientific software including well-organized user-level documentation and coding for optimization and sparse data structures.
    • Strong mathematical background for the implementation of algorithms for solving geometric input-output problems associated with generating 3D root system models.
    • Experience in computational geometry, 3D representations and data structures.
    • Experience in image processing techniques and statistical estimation methods is desired.
    • Experience applying Deep learning techniques and parallel computing methods are assets.
    • Previous experience working in plant, soil, or agricultural science is an asset.

    The position requires a motivated, results-oriented, reliable, and well-organized person with the demonstrated ability to work in a multi-disciplinary team environment. Candidates must possess excellent oral and written communications skills in the English language with the ability to engage a broad spectrum of internal and external stakeholders and partners.

    Full online posting here

  • 01 Feb 2022 12:47 | Anonymous member (Administrator)

    A PhD position is now available in the field of plant environmental stress physiology within the College of Agriculture and Bioresources, Department of Plant Sciences. This PhD position is also eligible under the Dual PhD program with Iwate University (Japan), Dr. Abidur Rahman lab http://news7a1.atm.iwate-u.ac.jp/~abidur/. Dual Ph.D. students are expected to split their Ph.D. tenure approximately in half between University of Saskatchewan and Iwate University. For more information, please visit , https://ugas.agr.iwate-u.ac.jp/en/dual-degree/

    Avoidance of environmental stress is an effective plant strategy particularly since our climate is becoming more extreme. The plant cuticular layer is the first barrier of defense against both abiotic as well as biotic stresses. As illustrated in our recent articles, the cuticle can effectively assist the plant in avoiding both abiotic (cold, heat, drought) and biotic (disease, insect) stresses (Forand et al., 2022; Rahman et al., 2021; Dhanyalakshmi et al., 2019). Our group has also provided a clear and direct link between specific genes such as CER3, DEWAX (involved in cuticular wax biosynthesis), increased frost avoidance/dehydration stress resistance in Arabidopsis (Rahman et al., 2021) as well as susceptibility to biotic stress in certain Arabidopsis mutants (Forand et al., 2022). Our investigation with an Arabidopsis cer3 mutant allele showed the mutant is highly sensitive in losing water from the excised shoot under dehydration stress. The mutant is also highly sensitive to freezing under subzero freezing condition and losing further of its ability to retain the wax deposition under cold-acclimation. This research examines the cuticular layer in two aspects: 1) adding another protective but temporary layer to avoid sudden frosts in potato; 2) determine if specific wax components within the cuticle can be genetically selected for, and protect against both heat and frost stress in potato and canola.

    The PhD student will be paid a stipend of no less than $30,000 CAD per year at the University of Saskatchewan for up to four years. Students are also encouraged to apply for the many scholarship opportunities available. Student development and international experience are considered important steps to successful careers. The student will have opportunities to present their work at conferences. For all who are interested in this PhD position, contact Prof. Karen Tanino, karen.tanino@usask.ca and use “PhD position, Plant Environmental Stress” in the subject line.

    Deadline for application: no later than March 20, 2022 with a tentative start date of June 1, 2022.

    References linked to the project:

    Ashraf, Mohammad and Rahman, Abidur (2019) Plant Journal. 97: 500-516 DOI: 10.1111/tpj.14137

    Dhanyalakshmi, KH et al., (2019) Leaf Cuticular Wax, a Trait for Multiple Stress Resistance in Crop Plants. In Abiotic and Biotic Stress in Plants; de Oliveira, B.A., Ed.; IntechOpen: London, UK.

    Forand, Ariana et al., (2022) Plants (accepted).
    Rahman, Arifa et al., (2020) Plant Cell Physiol. 61 (4): 787-802 DOI:10.1093/pcp/pcaa005
    Rahman, Tawhid et al., (2021) Int. J. Mol. Sci. 22:1554. https://doi.org/ 10.3390/ijms22041554. Rahman, Abidur (2013) Physiologia Plantarum. 147: 28-35; doi:10.1111/j.1399-3054.2012.01617.x Shibasaki, Kyohei et al., (2009) Plant Cell. 21:3823-3838;
    doi: 10.1105/tpc.109.069906

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