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In this interdisciplinary Master project, you will design, model, and simulate cryogenic control electronics for scalable electron-spin qubit systems. The core challenge is enabling multi-qubit
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In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream Tasks in Earth Observation). You will actively work on integrating uncertainty-aware modeling capabilities...
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of this master thesis is to evaluate the economic impact of different policy instruments on DAC economics. You will review existing policies for DAC and model the impact of these on the cost of CO2 capture and
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The transition toward smart, energy-efficient buildings requires a deep understanding of how occupants actually use space and energy over time. Office buildings generate rich, continuous streams of power consumption data that implicitly encode patterns of human activity like the presence,...
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In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream Tasks in Earth Observation). You will investigate novel approaches to improve the capabilities of...
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The objective of this thesis is to implement, analyse and optimize the Fischer-Tropsch synthesis in a biogas-fed Reformer-SOEC-FTS system. Your work will be to develop and validate a model of the entire FTS process in Aspen Plus, including reactions, separation and purification. Your model will...
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In previous projects, a detailed dynamic model of the system was developed based on first-principle (white-box) approaches. While such models provide valuable insight, advanced model-based control methods such as Model Predictive Control (MPC) are often limited by discrepancies between the...
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benchmark them with a realistic case study. The main focus of the project can develop either more in the mathematical theory of MCMC, the implementation of code for the Jülich supercomputers (GPU/CPU
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. Within this Master thesis, you will contribute to the evaluation of GridFM-inspired machine learning approaches for power grid analysis. The main goal is to develop a reproducible benchmarking workflow and
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(LT-STM/STS) at 5K. We will directly visualize atomic structures and probe the local electronic states of low-dimensional materials with atomic-scale spatial resolution. This master thesis offers