43 phd-machine-learning PhD positions at Delft University of Technology

PhD Position Machine Learning on Graphs

We are seeking for a highly-skilled and self-motivated candidate with a strong mathematical background to do a Ph.D. on the fundamental aspects of graph machine learning with applications

PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance on Industrial Scale

simulation models and enriched by operational equipment performance data. To this end, physics informed machine learning techniques will be used to bring model data and real data together in a Digital Twin

PhD Position Scientific Machine Learning for Extreme Fluid Dynamics

will explore the use of cutting-edge scientific machine learning framework that blends deep learning with physics-based techniques to achieve the goals of (i) identifying precursors and mechanisms

PhD Position in Control Theory and Machine Learning for Robust and Sustainable Plants Models at CropXR/TU Delft

Challenge: Analyse properties of biological systems Change: Develop novel control theory and machine learning methods to study natural systems and their robustness Impact: Produce new intelligent

PhD Position Satellite-derived Bathymetry using Physics-informed Machine Learning

. Knowledge and experience in data science and machine learning. A good command of spoken and written English Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate

PhD Position Experimental multiphase flows and machine-learning-based modelling

on your interests and background, the focus will be more on the experimental fluid dynamics or the machine learning side. As a PhD student, you will be part of two vibrant teams of researchers with diverse

PhD Position Automated Activity Detection from Multiple Sensors

that the manual process is very time-consuming and error-prone. To help drive efficiency, computer vision is crucial, yet so far the focus has been on single-camera data analysis. As a PhD at TU Delft you will

PhD Position in Data- and AI-driven Transportation Infrastructure Life-Cycle Extension

& infrastructure modelling, algorithmic decision-making, transportation engineering, uncertainty quantification, geo-data analytics, machine learning, and optimization. Experience with data-driven and/or deep

PhD Position Optimal Exploration of Networks

academic staff, PhD students and postdocs of the Sequential Decision Making section. We share the ambition to be the world’s top scientists in the field of AI and machine learning, and encourage you to spar

PhD Position Value-based assessment methods for AI systems

computer science, data science, or another relevant subject, with practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in human-AI