The research field "Vehicle Systems and Technology Assessment" offers a master thesis, in which the spatial emissions of passenger road transport worldwide are to be modeled within the project "EmissionsLandKarte (ELK)". The aim of the thesis is to develop a machine learning based model to predict regional passenger transport demand in terms of origin-destination matrices as an input to a fine-grained global transport emission inventory. Explainable neural networks and graph neural network architectures are to be conceptualized, tested and validated for Europe and then tested on other world regions. The collection and evaluation of appropriate input data from open sources for the model will be a first task.
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Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x).Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
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