13 Statistics positions at Delft University of Technology in phd in Netherlands

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 Numerical Methods for Stochastic Differential Equations

"with memory" are of importance in several disciplines, such as for financial and statistical modelling. However, due to the correlation structure their computational simulation is very challenging

PhD Position Optimal Exploration of Networks

keen interest in uncertainty modelling, probability theory and statistics. You thrive on conducting research geared to real-world application in the security domain and are intrinsically motivated

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 Next-gen Adsorbents

regeneration methods. Explore laboratory data using statistics and adsorption models to understand underlying trends, explore adsorption mechanisms and predict performance. Investigate sorbent fouling and

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

of this position is the theoretical foundation of statistical machine learning, with applications to satellite-based imageries. Candidates are required to have a strong background in mathematical statistics, signal

PhD Position Equity Impacts of Climate Shocks to Infrastructure

, Statistics/Mathematics, Data Science, International Development, or a related field (essential). Experience working with large datasets, models and (geospatial) programming skills (e.g. preferably Python or R

PhD Position Machine Learning on Graphs

to the research topic; A strong mathematical background in optimisation, statistical learning, linear algebra and probability; A solid understanding of machine and deep learning; An experience in programming in

PhD Position Developing a New Modelling Framework to Identify Air Pollution Sources in Urban Area

, atmospheric stability, and urban setting)? How can we best represent this variability in outcome with a statistical model and take its inverse? Is such framework adaptive and generalizable to changes in urban