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  • Posted: Sep 10, 2025
    Deadline: Not specified
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  • The World Agroforestry Centre, is an international institute headquartered in Nairobi, Kenya, and founded in 1978. The Centre specializes in the sustainable management, protection and regulation of tropical rainforest and natural reserves.
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    Research Technician -DCP - CIMMYT

    Duties and responsibilities

    Management of phenotyping nurseries and trials.

    • Work closely with CIMMYT scientists and NARS implementing partners to ensure timely land preparation, seed assembly and planting of trials/nurseries according to the experimental design.
    • Ensure proper agronomic management of trials like application of fertilizer, timely irrigation, weed and pest control
    • Ensure disease/striga screening trials are artificially inoculated according to laid down procedures
    • Ensure seeds for checks are available in sufficient quantities and when necessary increased in a timely manner
    • Ensure pure pathogen cultures and striga seed are maintained in a viable state and available for artificial inoculation when needed.

    Data Collection and Organization.

    • Manage accurate and timely data collection at different stages of the trials in the field, nurseries using the relevant tools and software
    • Ensure accuracy of data entry and consolidation in preparation for analysis by the Scientists
    • Learn and operate Enterprise Breeding System (EBS) for routine operations, data upload, data curation and preliminary analysis; basic familiarity with Breeding Management System (BMS) may be helpful.

    Supervise casual Labor.

    • Develop budgets, and monitor budget utilization.

    Other Responsibilities.

    • Assist partners based on their needs in coordination with the supervisor
    • Establish and maintain contact with collaborating /implementing organizations and partners
    • Any other task assigned by the supervisor.

    Requirements

    • BSc or MSc in Crop protection, agronomy or related Agricultural Sciences with at least 3 years accumulated practical experience in field trialing and management.
    • Knowledge in managing agricultural field activities or research projects in a dynamic and fast paced organization.
    • Thorough knowledge of field trials management, and field identification of biotic stresses affecting dryland crops.
    • Familiarity with application of pest and disease evaluation scales especially of dryland crops.
    • Ability to provide supervision and training to field staff to manage research activities
    • Basic supervisory skills and experience are a must.
    • Ability to communicate orally day-to-day matters and to prepare brief but accurate reports or complete forms without assistance.
    • Ability to analyze situations or problems and timely propose or evaluate possible resolution mechanisms.
    • Competency to use the standard Windows-based software for word processing, spreadsheets, presentations, and email used at CIMMYT.
    • The selected candidate must exhibit the following competencies: Problem-solving and decision-making, negotiation and conflict resolution, communication, and teamwork.

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    Spacial Data Scientist- Remote Sensing

    Duties and responsibilities

    Spatial data science

    • Optical data processing and analysis, including from sensors such as Sentinel 2 and Landsat 8/9.
    • SAR data processing and analysis, primarily Sentinel 1.
    • Timeseries analysis, including detection of trends and anomalies in temporal data (vegetation, precipitation, land surface temperatures, etc)
    • Predictive modeling of time series data, including forecasting where relevant.
    • Applications of machine learning for predictive modeling and mapping of indicators relevant to assessment of ecosystem health using a combination of field data and remote sensing.
    • Spatial data analysis tasks, including spatial queries, vector data extraction, processing, and cleaning.
    • General data analysis and report writing.
    • Supervise a team of junior spatial data scientists and developers.
    • Develop communication products/outputs where relevant.

    Capacity development

    • Lead internal capacity development seminars within CIFOR-ICRAF.
    • Capacity development of partners and stakeholders through workshops as part of projects with particular emphasis on spatial data processing and modeling.

    Stakeholder engagement

    • Work closely with the CIFOR-ICRAF stakeholder engagement team (SHARED) to provide analytical outputs that feed into project delivery, for example monitoring outputs as part of the Great Green Wall.
    • Contribute to stakeholder engagement events as part of the development of decision support tools and platforms.

    Various other tasks

    • Contribute to micro-dashboard development as part of the Global Resilience Impact Tracker platform
    • Support projects and programs with analytical support and stakeholder engagement with decision makers.
    • Lead and/or contribute to scientific papers.
    • Contribute to proposal development and writing.

    Requirements

    Education, knowledge and experience

    • MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.
    • Excellent interpersonal skills.
    • Excellent written and spoken English.
    • Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

    Method of Application

    Use the link(s) below to apply on company website.

     

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