40 machine-learning PhD positions at Delft University of Technology in Netherlands

PhD Position Multi-Sensor Multi-modal Machine Learning for Social & Affective Computing

the development of artificial systems that each integrate different aspects of machine learning, multimodal sensing, ubiquitous computing and social science. In addition, the successful candidates will have the

PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins

to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust

PhD Position Multivariate Dependence Modelling and Statistical Machine Learning Algorithms for Patient Risk Profiling

PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling. In partnership with RECENTRE (see https://www.4tu.nl/recentre/), a

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 Satellite-derived Bathymetry using Physics-informed Machine Learning

Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry

PhD Position Trustworthy Recommender Systems

the content we engage with, the products we purchase, and our social interactions. These systems, driven by machine learning, support a wide range of human decision-making processes across e-commerce, social

PhD position Sequential Decision Making

for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision making, which includes bandit problems and theoretical reinforcement

PhD Position Validating Automatically Generated Code

. These AI tools are based on machine learning (ML) models trained on massive collections of open-source code and allow developers to easily (re)use the programming knowledge aggregated by these ML models

PhD Position Automated Activity Detection from Multiple Sensors

conduct unique research and design machine learning algorithms for detecting relevant activities from multiple cameras, and possibly other sensors as well. Would you like to work closely with