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    5 days ago
    Institut für Bildung in der Informationsgesellschaft header
    Institut für Bildung in der Informationsgesellschaft logo
    Full-time
    Part-time
    Junior
    Mid Level
    08.11.24
    #bildung#institut#interdisziplinär

    Research Assistant (E13 TV-L)baito Pro Job

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    Intro

    The position offers an opportunity to conduct research in the field of generative design of hydrogen burners for gas turbines, with a focus on deep learning applications.

    Tasks

    • Conduct independent research into generative learning methods for hydrogen burners in gas turbines
    • Perform numerical experiments with deep learning frameworks like PyTorch or TensorFlow
    • Evaluate simulation results for physical and statistical suitability
    • Write scientific papers on the 'Turbo Transition' project
    • Participate in activities of the Turbo consortium and the research network 'Effiziente Energieumwandlung'
    • Maintain exchange with the industrial partner Siemens Energy
    • Support teaching with 1 semester hour per week

    Requirements

    • Successfully completed academic university degree (Master, Diploma or equivalent) in Mathematics
    • Programming experience, preferably in Python
    • Experience in the application of deep learning, especially generative learning
    • Programming experience with deep learning frameworks such as PyTorch or TensorFlow
    • Good knowledge of German and/or English; willingness to acquire the respective missing language skills
    • Desirable: Ability to work in a team and good communication skills
    • Desirable: Knowledge of the theory of machine learning
    • Desirable: Knowledge of the theory of generative learning
    • Desirable: Knowledge of the application of partial differential equations

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