Sort by
Refine Your Search
-
theoretical and empirical research at the intersection of logic, optimization, and machine learning for control, monitoring, and interpretability. Both PhD projects are inspired by real-world deployment of AI
-
transportation systems by leveraging the intersection of operations research, behavioural modelling and machine learning methodologies. The idea is to make use of information from the system itself across
-
the aquatic environment. A large contribution to micro-plastics pollution comes from microfibers released from clothes in our washing machines, which cannot be completely filtered with current methods. In
-
systems. In particular, statistically robust, probabilistic machine learning algorithms will be explored for time-varying graphs, which naturally arises in mobile autonomous systems, tackling challenges
-
-ratio estimates in soil, taking also into account measurement errors. This research will build on ongoing work on full-waveform inversion and machine learning for laterally varying, high-resolution shear
-
. Experience in machine learning, natural language processing, and deep learning is also a plus. A Master's degree in computer science, artificial intelligence, or a related field Strong programming skills in
-
at Master level in Geoinformatics, Geoscience, Environmental Engineering, Computer Science, or relevant field. Demonstrated prior knowledge in data analytics (e.g., Machine Learning) and Geostatistics either
-
-motivated, and eager to learn. You are keen to work with industry partners to link real-world challenges to fundamental research questions. Demonstrable experience with computer modelling and simulation. You
-
the thermomechanical physics during a large scale additive manufacturing process. This will be achieved through sensor fusion, computer vision and data-driven tools to develop a digital twin of the fabrication process
-
, collaborative environment. Experience with computer programming (Python, R, or another language) and machine learning will be considered a plus. Doing a PhD at TU Delft requires English proficiency at a certain