Postdoc Position in Quantitative Genetics and Genomics, Denmark

    Postdoc Position in Quantitative Genetics and Genomics, Denmark

    Postdoc Position on Quantitative Genetics and Genomics in Farmed Crops, at the Center for Quantitative Genetics and Genomics (QGG), Aarhus University, Denmark


    Deadline to Apply

    Jul 01, 2021 (23: 59 GMT +1)


    Overview

    PositionPostdoc Position
    No. of Position(s)1
    Research Area– Plant or animal breeding
    – Quantitative genetics
    – Quantitative genomics
    – Statistics
    – Machine learning
    SalaryAccording to standard norms
    WorkplaceCenter for Quantitative Genetics and Genomics (QGG)
    Aarhus University
    Denmark
    Contract Period3 Years
    Starting dateSep 01, 2021

    Qualifications

    • Ph.D. or equivalent in plant/animal breeding, quantitative genetics, quantitative genomics, statistics, or related fields.
    • Strong interest in use of highly stochastic models for the analysis of phenotypic and genomic data.
    • Proficiency in conducting large-scale computations.
    • Good understanding of methods used in genomic prediction.
    • General understanding of commercial breeding programs.
    • Good skills in oral and written communication in English.
    • Ability to work in a large and diverse group of researchers, and collaborate with national and international partners form research and industry.

    Responsibilities/ Job Description

    The postdoc will develop models and methods to optimize genetic improvement of farmed crops with a current focus on maintaining yield while increasing disease resistance in potato. Special focus will be on using genomic prediction for more efficient selection of new varieties. This will involve estimation of variance components including both genotyped and non-genotyped individuals and on optimum methods to handle genotype by environment interactions for traits that are normally distributed as well as categorical disease traits. Methods for evaluation and comparison of models should be developed and implemented for tetraploid potatoes and potentially optimization of breeding programs using deterministic and stochastic simulation. The position is for 3 years of employment and there are possibilities for extension up to a maximum of 4 years if the candidate is considered obviously qualified and sufficient funding is available.

    The position is related to collaborative project commercial breeding companies with the goal of developing methods and models that can be implemented in practical applications. The candidate will work on the analysis of data from ongoing experiments, and from ongoing commercial selection programs. Results and hypothesis will be verified using complex stochastic simulation models and implemented in models for optimization of breeding programs. The position provides excellent possibilities for access to state-of-the-art tools for simulation and for the analysis of complex genomic large-scale datasets, writing publications, collaboration with industry partners as well as with other research groups.

    How to Apply?

    To apply, please click Apply Online button mentioned above

    Documents Required

    The application must be in English and include

    • Curriculum vitae
    • Degree certificate
    • Complete list of publications
    • A statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any).

    Guidelines for applicants can be found here.

    About Research project

    Current projects focuses on potato, which is the third most grown food crop worldwide and in Denmark, there is a considerable production and consumption of different potato products. In addition, there is a considerable export especially of seed potatoes. However, potato production is also currently managed by heavy treatments against different diseases especially late blight, which is a practice considered unsustainable. In addition, potato is heavily affected by genotype by environment interactions and therefore new varieties needs to be adapted to different production environments and different disease pressures.

    About Center for Quantitative Genetics and Genomics (QGG)

    The institute like center, QGG, is a major center for research and education in quantitative genetics and quantitative genomics (www.qgg.au.dk/en) at Aarhus University. We perform basic and applied research within livestock and plant breeding as well as human applications within precision medicine. The research within QGG is characterized by a very close synergy between method development, basic analysis and application of the developed methods on practical problems across species in collaboration with industry partners. QGG is an international research Center with about 70 employees and visiting researchers from over 15 nations. QGG works in teams and strive for an excellent working environment. We therefore value self-leadership, open communication, respect for diversity and success in mentoring, supervision and teaching. The current location of QGG is in Foulum and Flakkebjerg. However, in near future the main location of QGG will be the main campus in Aarhus center. The candidate can therefore choose between working in Foulum or in Aarhus. 

    Note

    • Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations.
    • Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.
    • Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.

    Inquiries

    Head of Center Mogens Sandø Lund
    Phone: +45 20751222
    E-mail: mogens.lund@qgg.au.dk

    Professor Just Jensen
    Phone: +45 4082 1680
    E-mail Just.Jensen@qgg.au.dk.

    Official advertisement

    Postdoc Position on Quantitative Genetics and Genomics in Farmed Crops

    Post expires at 8:59am on Friday July 2nd, 2021 (GMT+9)