Assistant Professor in Quantitative Genetics and Genomics

    Assistant Professor in Quantitative Genetics and Genomics

    Assistant Professor in Multi-Omic Models in Plant Breeding, at the Center for Quantitative Genetics and Genomics (QGG) at Aarhus University, Denmark


    Deadline to Apply

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


    Overview

    PositionAssistant Professor
    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 or animal breeding, quantitative genetics, quantitative genomics, statistics, machine learning or related fields.
    • Strong interest in use of highly stochastic models/machine learning for the analysis of phenotypic and high dimensional omics data.
    • Proficiency in conducting large-scale computations.
    • Good understanding of methods used in genomic prediction and selection for complex traits in commercial populations.
    • Understanding of commercial breeding programs is an advantage.
    • Strong 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 from research groups and industry.
    • Experience in attracting funds for new research projects.

    Responsibilities/ Job Description

    A position focusing on modeling dense phenotypes and diverse omics data in farmed crops based on intense imaging of root development, dense genotyping and use of further technologies of high-throughput omics is available on September 1st, 2021 or as soon as possible thereafter, at the Center for Quantitative Genetics and Genomics (QGG) at Aarhus University. Deadline for applications is July 1. 2021.

    The incumbent will develop models and methods to optimize prediction of complex phenotypes including drought resistance and root development by developing and implementing multi-layered stochastic models for complex phenotypes in farmed crops. This will include genetic analysis records from a large-scale semi-field phenotyping facility. The records will include intense imaging of root development using minirhizotrons, standard above ground traits related to yield, hyperspectral reflectance data obtained from systematic imaging of all experimental units, gene expression data, and metabolomic profiles. The methods used will be based on highly stochastic models and/or machine learning. The position is for 3 years of employment with possibility of extension if further funding become available.

    Initially the position is related to a collaborative project on farmed crops with commercial breeding companies and other universities in Denmark. This 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 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.

    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

    Mogens Sandø Lund
    Centre Director, Center for Quantitative Genetics and Genomics
    Phone: +4587158024
    Email: mogens.lund@qgg.au.dk

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

    Nat-Tech Administrative Centre – Nat-Tech HR
    Phone: +4525695795
    Email: Nat-Tech.HR.Emply@au.dk

    Official advertisement

    Assistant Professor in Multi-Omic Models in Plant Breeding

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