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-quality standards. This project aims to develop a novel AI-driven solution to revolutionize forging process optimization by leveraging surrogate modeling techniques. The objective is to create an AI-based
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for the position: A PhD or Doctoral degree in Energy Economics, Mechanical Engineering, Electrical Engineering, Energy Systems, or a closely related field. Proven expertise in energy system modelling and the use
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modeling, interpretable and explainable machine learning, or hybrid modeling by combining process-based and data-driven approaches. Besides your own main project focus, you will contribute to the supervision
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and policy choices Effects of intergovernmental fiscal transfers Fiscal decentralization and residential sorting The work might be based on theoretical modelling and/or empirical analysis. Profile
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. The position is available immediately, with an initial appointment for 1 year, renewable up to 3 years based on performance. Job description The candidate is expected to work on the broad theme of reinforcement
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sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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position focused on light-driven CO2 capture. Job description Our group is actively developing a novel photoacid-based approach for efficient CO2 capture, optimizing both the local chemical environment in