Post-Doctoral Fellow, Sorghum Breeding (Internationally Recruited) - IRS26256 at International Maize and Wheat Improvement Center CIMMYT in Nairobi, Kenya

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    Post-Doctoral Fellow, Sorghum Breeding (Internationally Recruited) - IRS26256

    Posted

    1 week ago

    Apply by

    27 Aug

    Full Time
    On Site
    Senior
    Charity, NGO & Non-Profit
    Agriculture, Food & Natural Resources

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    Job Description

    The successful candidate will provide hands-on technical leadership for practical breeding operations, including collaborating with quantitative geneticists for population development, sparse multi-location testing, and field validation of prediction outputs. The role will work closely with the ESA ADCIN network of breeders on nursery and trial execution to enable selection decisions for accelerated population development across target environments. This position will strengthen the interface between advanced analytics and field delivery by linking quantitative tools, breeding operations, and regional partner implementation within a shared breeding framework, contributing to CGIAR's broader emphasis on modern, efficient breeding systems, stronger national and regional partnerships, capacity development, and faster delivery of climate-resilient crop improvement solutions for smallholder farmers in Africa.

    Key Responsibilities

    • Collaborate with quantitative geneticists, breeders, technicians, and partners to translate genomic and predictive analytics into crossing and population development decisions.
    • Support the senior breeder in the deployment of advanced breeding innovations across the ADCIN sorghum network in ESA, including recurrent and rapid-cycle genomic selection, and the identification, crossing, selection, and advancement of breeding populations.
    • Coordinate sparse multi-location testing and multi-environment validation across target environments, working with partners on trial planning, site selection, deployment, and phenotyping.
    • Support high-quality data generation through trial management, quality control, harvest, and sample handling, and collaborate with biometricians and quantitative geneticists on data analysis and interpretation.
    • Support the integration of predictive breeding and data-driven decision-making into routine breeding pipelines across CIMMYT and partner programs.
    • Prepare and contribute to scientific publications, technical reports, presentations, capacity Development, and other knowledge products that document activities, results, and outcomes.

    Required Qualifications

    • PhD in Plant Breeding, Agronomy, or a closely related discipline, obtained within the least five years, or expected to graduate within the next six months.
    • Experience in field-based breeding research, multi-environment trials, or breeding pipeline implementation in sorghum.
    • Strong working knowledge of genomic selection, breeding data systems, and quantitative genetics.
    • Demonstrated ability to work with breeders, field teams, and data analysts in applied breeding environments.
    • Proven track record in publications.
    • Strong written and verbal communication skills in English.
    • Experience with sparse testing, RCGS, predictive breeding, or rapid generation advancement in sorghum are desirable.
    • Field research coordination, leadership and implementation skills.
    • Translation of advanced breeding concepts into practical operational decisions.
    • Problem-solving and attention to detail.
    • Teamwork and collaboration across institutions and disciplines.
    • Initiative, adaptability, and willingness to work in field and analytical environments.

    Job Details

    Job Function

    Agriculture, Food & Natural Resources

    Minimum Experience

    5 years

    Education Level

    Doctorate (PhD)

    Area of Study

    Science

    Field of Study

    Plant Breeding

    Languages

    English

    Additional Information

    How to Apply: Interested and qualified? Go to International Maize and Wheat Improvement Center (CIMMYT) on apply.workable.com to apply.

    Show Your Field-to-Data Chops in the Interview

    This role sits at the crossroads of field breeding and advanced analytics. Hiring managers will probe how you've turned genomic predictions into actual crossing decisions and how you handle messy field data under real deadlines.

    1. Quantify your breeding pipeline impact: On your CV, show numbers: number of populations advanced, trial sites managed, or selection cycles completed. For example, 'Coordinated 12 multi-location trials across 3 countries, supporting 5 selection decisions per cycle.'

    2. Prepare a one-slide summary of your PhD work: Focus on the breeding problem you solved, methods used (e.g., genomic selection, sparse testing), and the practical outcome. Be ready to explain how it applies to sorghum in ESA.

    3. Demonstrate your data fluency: Expect questions on breeding data systems (e.g., BMS, EBS, or custom pipelines). Mention specific tools you've used for data quality control, analysis (R, ASReml), and interpretation.

    4. Show collaboration skills with field teams: Give examples of working with technicians and partners to ensure trial quality. Highlight how you communicated technical concepts to non-specialists.

    5. Discuss your publication strategy: Be ready to talk about your publication record and how you plan to contribute to CIMMYT's knowledge products. Mention any papers in progress.

    6. Prepare for scenario questions on trial design: They may ask how you'd design a sparse multi-location trial for sorghum. Think through site selection, replication, and data collection protocols.

    7. Emphasize adaptability: Field work in Africa can be unpredictable. Share an example of adapting to changing conditions (e.g., weather, pest outbreaks) while keeping data integrity.

    8. Ask smart questions: Inquire about the current ADCIN network structure, data management tools used, and how the role interfaces with other CGIAR initiatives. This shows genuine interest and strategic thinking.

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    Tags

    sorghum breeding
    genomic selection
    quantitative genetics
    multi-environment trials
    breeding pipeline