16 phd-statistics positions at Delft University of Technology in Netherlands

PhD Position Numerical Methods for Stochastic Differential Equations

The Analysis research group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of Numerical Methods for Stochastic Differential Equations

PhD Position Optimal Exploration of Networks

drugs chain, any action will provoke an uncertain reaction. As a PhD candidate at TU Delft, you will bridge fundamental research and police practice. To enhance the predictive models used by the police

PhD Position Theoretical Biophysics

) on the other hand. We use tools from statistical physics, information theory and non-linear dynamics to understand the how well a particular system responds to a stimulus, and how this stimulus is processed

PhD position Distributed Sensor Fusion for Swarms

challenges in such large-scale distributed networks i.e., the low-cost sensing, decentralized statistical inference, distributed control and online decision making. These distributed systems will have to fuse

PhD Position Equity Impacts of Climate Shocks to Infrastructure

The department Engineering Systems and Services (ESS) offers a 4-year PhD position on quantifying the equity impacts of climate shocks to infrastructure and transportation systems in the Global South. It is well

PhD Position Next-gen Adsorbents

contrast to current water treatment technologies these adsorbents are associated with higher efficiency and selectivity for many emerging pollutants. This PhD is embedded in the recently funded NWO project

PhD Position Machine Learning on Graphs

the dynamics of the topology as practical graphs change over time. In this PhD project, we are looking for a candidate to work on one of the following fundamental areas: Physic-informed graph neural networks

PhD Position Advanced Stochastic Seismic Inversion and Testing to Capture Variability of Damping Ratio in Soil for Accurate Site-response Analysis

The PhD position will be in the Section of Applied Geophysics and Petrophysics and is part of a multi-disciplinary research project funded by the Dutch Research Council (NWO) as part of the DeepNL

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

professors, lecturers, project managers, other PhD candidates, and postdocs from diverse backgrounds, we employ a wide range of model-based and empirical methods to analyse data. In particular, utilizing PIML

Postdoc Composite Design and Manufacturing Using Applied Machine Learning Methods

Explore and develop scalable machine learning methods for aerospace structures' design and manufacturing This postdoctoral research aims at exploring statistical methods that enable the data-driven