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    29.11.24
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    Studentische Hilfskraft (m/f/d) Individualisierte Tierproduktion

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    12.11.2024

    Student assistant (m/f/d) individualized livestock production

    Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam

    The Leibniz Institute for Agricultural Engineering and Bioeconomy e. V. (ATB) is a pioneer and driver of bioeconomy research. We create scientific foundations for the transformation of agricultural, food, industrial and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently crosslink highly diverse bioeconomic production systems and to control them in a knowledge-based, adaptive and largely automated manner. We conduct research in dialogue with society - knowledge-motivated and application inspired.

    To support our team in the program area of individualized livestock production we are seeking for a

    Student assistant (m/f/d)

    We develop digital tools for automated, animal-specific data collection, evaluation and prediction of infectious diseases of the udder (mastitis) in dairy cows. In this way, we support animal health management in the complex biological systems of dairy farming. New possibilities in the application of machine learning (AI) allow us to use the increasing amount of data collected at dairy farms. The data from dairy cow herds that are relevant for animal health management must be regularly evaluated and interpreted after linking them to the respective operational conditions. For this purpose, we are looking for a committed student assistant who is interested in participating in our research projects.

    Your responsibilities

    • Assistance in data extraction and analysis
    • Assistance with app development
    • Optional: Scientific Writing (Master's/Bachelor’s thesis & publication)

    Your qualifications

    • You are studying Data Science, Computer Science, Mathematics, Digital Farming, Bioinformatics, Biology or similar
    • Knowledge in statistical data analysis
    • Experience with the programming language Python
    • Fluent in English, both spoken and written (German is beneficial)
    • Structured and responsible way of working, commitment and ability to work in a team
    • Optional:
    • Driving license (class B)
    • Experience with software development, especially app development

    We offer you

    • An attractive, research-focused and interdisciplinary working environment at one of Germanys top institutes for agricultural science
    • Working from home and family-friendly working conditions
    • A range of different sports on and around the campus
    • The opportunity to write a master's or bachelor's thesis

    This position consists of a working time of 9 hours per week (mini job) and is limited for 12 month, with the possibility of extension. The remuneration is 13,25 € / hour or 13,83 € / hour with a Bachelor’s degree. Due to tariff increases the remuneration are subject to change.

    For further information please contact Dr. Kabelitz or Mr. Minogue (E-Mail: tkabelitz(at)atb-potsdam.de,  lminogue(at)atb-potsdam.de) or visit our website www.atb-potsdam.de.
    If you would like to contribute your expertise to our interdisciplinary research, we look forward to receiving your application. Please apply by 29.11.2024, using the online application form for the job advertisement, reference code 2024-5-6at https://www.atb-potsdam.de/en/career/vacancies. Applications received after the application deadline cannot be considered.

    Equality of opportunity is part of our personnel policy. Disabled applicants with adequate qualification will be preferentially considered.

    By submitting an application, you agree that your job application documents will be stored for a period of six months, even in the case of an unsuccessful application. Further information on the processing, storage and protection of your personal data can be found at https://www.atb-potsdam.de/en/data-protection-declarationfor-the-application-process.

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