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Field
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infrastructure automation and management via Ansible Contribute to the development of custom Transformer-based models for behavior detection, segmentation, and tracking Help optimize training and deployment
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-tolerant, optimal and distributed control, robustness and uncertainties adaptive control and autonomy. Interdisciplinary and application driven research is very welcome. Teaching responsibilities include
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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compensate for the influence of hardware errors, you will identify optimization potentials and implement the latest error mitigation strategies. Your area of responsibility also includes applying
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Your Job: Development of a physical solid-state cathode model and simulation of cathode performance Mathematical optimization of the model parameters using laboratory measurements Preparation and
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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as
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(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
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of functional materials to find an optimal structure on a small scale from the micrometer to the nanometer. The materials and systems examined play an essential role in sustainable technologies such as water and
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optimize material properties such as conductivity, adhesion, and impermeability through methods like sintering, crystallization, and melting. One focus of our research is printed electronics, where we