PhD scholarship in Image Analysis, Computer vision, Machine learning jobs

    PhD scholarship in Image Analysis, Computer vision, Machine learning jobs

    Image Analysis, Computer vision, Machine learning jobs – PhD scholarship in Machine Learning for Multispectral Image Analysis, in the Section for Visual Computing at DTU Compute, Technical University of Denmark

    Deadline to Apply

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


    PositionPhD Position
    No. of Position(s)One
    Research Area– Computer science
    – Mathematics
    – Image analysis
    – Computer vision
    – Machine learning
    ScholarshipAccording to standard norms
    WorkplaceSection for Visual Computing
    DTU Compute
    Technical University of Denmark
    Contract Period3 Years


    You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree


    We expect that you have studied topics in computer science, mathematics, or similar including experience in image analysis, computer vision, machine learning, etc. Furthermore, the ability to program in Python, Matlab, C++, or similar is important. Also, the ability to work in a multidisciplinary environment is essential, as is a good command of the English language. 


    Multispectral imaging can be used for indirectly measuring the microorganisms associated with the plant leaves. The task in this project is to investigate methods that allow measuring leaf microorganisms and assess the predictive power of these methods. It is of particular interest to investigate how early in the growth stage the presence of specific microorganisms can be detected, and how sensitive multispectral imaging combined with machine learning is for measuring this.

    If you are interested in this research area, then you are encouraged to apply for this PhD-position. You will work with scientists that are specialists plant biology, genetics, plant breeding, data science and other fields, that will need the results coming out of this project. Therefore, it is important that you are interested in delivering results to other researcher’s projects, and that you are willing to work hard to achieve your goals. This will also require that you are interested in understanding details of other people’s research projects in addition to becoming a specialist in your own area.

    This PhD will be enrolled in the DTU Compute’s PhD school, which is a three-year project where the primary task is research in computer vision for multispectral imaging. But the project also involves teaching, course work, and other tasks.

    How to Apply?

    To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file

    Documents Required

    • A letter motivating the application (cover letter)
    • Curriculum vitae
    • Grade transcripts and BSc/MSc diploma
    • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

    About DTU Compute

    DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science.


    • The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union
    • If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.


    Anders Bjorholm Dahl
    Tel.: +45 5189 6913

    Mads Nielsen
    Tel: +45 2460 0599.

    Official advertisement

    PhD scholarship in Machine Learning for Multispectral Image Analysis

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