78 machine-learning-phd positions at Delft University of Technology in Netherlands

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 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 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 Atmospheric Turbulence Modelling Using Physics Informed Machine Learning

performance, we will pioneer novel physics-informed machine learning algorithms to formulate an optical link performance map. This groundbreaking project comprises two PhD positions and one postdoc position

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 Distributed & Adaptive Radar for Human wellbeing Monitoring

, preferably but not necessarily on classification techniques and distributed radar systems. Knowledge or at least some interest in machine learning, preferably techniques for management/adaptation of systems

PhD Position Distributed & Adaptive radar for Drone Monitoring

but not necessarily on classification techniques and distributed radar systems. Knowledge or at least some interest in machine learning, preferably techniques for management/adaptation of systems

Postdoc Data-driven Prediction of Human Body Motion in Automated Vehicles

-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human body dynamics and motion comfort. A strong academit track