Postdoc Position in Bioinformatics, Genetics – Biological Sequence Analysis

    Postdoc Position in Bioinformatics, Genetics - Biological Sequence Analysis

    Postdoc Position in bioinformatics and biological sequence analysis is available at Center for Quantitative Genetics and Genomics, Aarhus University, Denmark.


    Deadline to Apply

    Sept 30, 2021 (23: 59 GMT +1)


    Overview

    PositionPostdoc Position
    No. of Position(s)1
    Research Area– Bioinformatics
    – Genetics
    SalaryAccording to standard norms
    WorkplaceCenter for Quantitative Genetics and Genomics,
    Aarhus University
    Denmark 
    Contract Period2.5 Year
    Starting dateJan 01, 2021

    Qualifications

    PhD degree in bioinformatics, computer science (applied to the analysis of sequence data), computational biology, quantitative genetics, population genetics, or related fields.

    The ideal candidate will have:

    • extensive knowledge of bioinformatics.
    • work experience in comparative genomics and/or natural language processing techniques applied to biological sequence data.
    • publication records as first author, in journals related to bioinformatics, computer science, computational biology, population genetics or genomics.
    • effective communication skills for presenting research results clearly, to a broad audience.
    • interests for collaborating with scientists across disciplines (e.g., quantitative geneticists and plant biologists) and levels (e.g., PhD students, technical staff).

    Responsibilities/ Job Description

    The project is supported by an Emerging Investigator grant by the Novo Nordisk Foundation, which funds groundbreaking research with promising applications in data science and the green transition in Europe. In this project, we will infer the effects of point mutations on plant fitness, based on evolutionary constraint and machine learning models (natural language processing applied to gene and protein sequences). This project will offer a unique opportunity to validate predicted fitness effects in experimental populations to support applications in genomic prediction and new breeding techniques. We are looking for a motivated postdoctoral associate to lead our effort towards the prediction of fitness effects. In this project, the candidate will gain mentoring experience, by collaborating with a PhD student for the validation of predictions in experimental populations, and substantial international experience as a visiting scientist in an international research group, during 6 to 12 months. Finally, they will be able to present their work and disseminate their results at international conferences.

    How to Apply?

    To apply, please click APPLY ONLINE button mentioned above.

    Documents Required

    The application must be in English and include

    • a curriculum vitae,
    • degree certificate,
    • a 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

    The successful candidate is offered:

    • research experience in an interdisciplinary research project, combining state-of-the-art techniques in comparative genomics and sequence analysis, innovative population development, and multi-omic data in plant biology (epigenomic, transcriptomic and metabolomic data).
    • training and international experience as a visiting scientist in a research group outside Denmark, for a duration of 6 to 12 months.
    • mentoring experience in collaboration with PhD student.
    • computational resources, including the Genetics/Genomics High-Performance Cluster and GenomeDK, with growing capabilities (additional nodes, GPUs).
    • a collaborative environment, in which the candidate will be able to share across subfields (quantitative genetics,  bioinformatics, machine learning) and applications(basic biology, agriculture and biomedicine).
    • a research environment characterized by collaboration, commitment to diversity and inclusion, and success in mentoring.

    About the Department

    QGG is a major center for research and education in quantitative genetics and quantitative genomics at Aarhus University (http://www.qgg.au.dk/en). We conduct basic and applied research within livestock and plant breeding as well as human applications for precision medicine. The research within QGG is characterized by a very close synergy between the development of methods and their application to 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 strives for an excellent working environment, in which we value self-leadership, open communication, and commitment to diversity and inclusion.

    Note

    All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

    Inquiries

    Dr. Guillaume Ramstein,
    Tel:+45 42 52 12 66
    E-mail:ramstein@qgg.au.dk

    Official advertisement

    Postdoc in bioinformatics and biological sequence analysis

    Post expires at 8:59am on Friday October 1st, 2021 (GMT+9)

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