45 machine-learning positions at Delft University of Technology (TU Delft) in Netherlands

PhD Position Machine Learning on Graphs

transportation networks but also the case of wind farms, solar grids and IoTs. Consequently, developing and using machine learning tools to process these graph data is more important than ever. Such a tools need

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

available validated DEM 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

PhD Position Scientific Machine Learning for Extreme Fluid Dynamics

nonlinear interactions at the origin of such extreme events. In this project, we will explore the use of cutting-edge scientific machine learning framework that blends deep learning with physics-based

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

. On this PhD project you will develop novel systems biology methods employing control and analysis of dynamical models, and machine learning models, in particular neural networks. The developed methods will be

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

promising solutions. This project aims to enhance SDB accuracy through deep learning pan-sharpening and physics-informed machine learning techniques. These methods will be tested in two regions worldwide and

PhD Position Automated Activity Detection from Multiple Sensors

has been on single-camera data analysis. As a PhD at TU Delft you will conduct unique research and design machine learning algorithms for detecting relevant activities from multiple cameras, and

Microelectronics System Administrator

be introduced into the ecosystem of the Linux-based computers of our department. You will learn how we setup and maintain them. You will learn how the machines are used by our researchers. What

PhD Position Optimal Exploration of Networks

share the ambition to be the world’s top scientists in the field of AI and machine learning, and encourage you to spar with us. Fostering a welcoming and collaborative atmosphere, we will give you all

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

following aspects will help you stand out: Knowledge of data-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human

Two (2) PhD Positions on Algorithms for Formal AI Verification and Explainability

Job related to staff position within a Research Infrastructure? No Offer Description You will conduct both theoretical and empirical research at the intersection of logic, optimization, machine learning