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Optimization techniques like linear and semidefinite programming find applications in many practical fields, but more and more also within mathematics, for instance as a tool in proving theorems in combinatorics, geometry, etc. In this project, you as a PhD student will explore the use of...
As a Communication Officer at the Faculty of Industrial Design Engineering (IDE), you will be responsible for communicating the Bachelor and three Master programmes of this faculty. Your goal is to help attract the right students who will go on to follow IDE’s education programmes, ultimately...
The massive quantities of data produced by scientific research create new challenges in terms of storage, curation and dissemination of such data. The field of Research Data Management provides strategies and services to allow such research data to be published and made findable and reusable on...
The PhD topic aims to address the issue of adequately quantifying cost of rolling resistance to the environment particularly under the Netherlands condition with the ultimate aim to reduce the carbon-footprint. Rolling resistance is directly linked to fuel consumption and hence carbon-footprint....
Graph gradient flows are commonly used in applications such as image segmentation and data clustering. In such applications the vertices of the graph represent the pixels from the image or the datapoints. It is important to know what happens when more pixels or data are available, i.e. when the...
The main difference between most modern learned systems and traditional automation is that behavior is not programmed, but derived from examples. When using such systems in practice we need to be able to identify when the system may not be doing what we want. The challenge this project addresses...
Are you interested in machine learning for intelligent decision making? Would you like to overcome fundamental challenges and bridge the gap to physical agents like robots, autonomous cars or automated factories? Create new cutting edge neural network architectures to empirically solve...
The brain is the most complex organ of the human body. During the last two decades, a new generation of scientists, between a microfabrication engineer and a cell biologist, started to develop engineered microenvironments trying to recapitulate the complexity of neural networks. In such context,...
In this project, you will develop novel multi-modal deep learning techniques to detect the dynamic and static obstacles in the urban environment in self-driving applications. Existing approaches often focus on training models for a single sensor modality (vision, lidar, radar, or audio) or a...
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (Salary indication: € 2.790,00 - € 4.402,00). The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution....