Sort by
Refine Your Search
-
within the Aerospace Structures and Materials Department of the Faculty of Aerospace Engineering of TU Delft. Direct supervision will be provided by Dr. ir. J.A. Pascoe and Dr. ir. R.C. Alderliesten
-
Engineering and Geosciences. The researcher will also be supervised by academic staff from the Applied Mechanics and Biobased Structures and Materials Sections at TU Delft. Collaboration with other disciplines
-
Postdoc EUROGUARD: European Goal Based Multi Mission Autonomous Naval Reference Platform Development
Systems Engineering (MBSE) and applicable to future European autonomous naval vessels and CONOPS. The PhD will support the GENSA in the areas of: Feasibility studies, incorporating vessel CONOPS in
-
of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials
-
We have an open postdoc position at TU Delft in the exciting new area of scalable fabrication and characterization of diamond nanophotonics for color-center-based quantum computing. The realization
-
consortium is a partnership between TU Delft, Erasmus MC, Eindhoven University of Technology, AMOLF, UTwente, Saxion, and several business partners. Together, we aim to conduct the necessary fundamental
-
completed PhD-project in planetary science/astronomy, geochemistry, petrology, material science and/or a combination of the latter. Expertise in conducting experiments, performing chemical sample analyses and
-
in physics, chemistry, material science, industrial ecology, or a related discipline Expertise in one of the following areas: Life cycle assessment, material supply evaluation or circularity of PV
-
) designs and their driving behavior are anticipated to provoke motion sickness and discomfort, impeding passengers' ability to enjoy their commute time. Despite substantial investments in AV technology, the
-
of ML in engineering is still in its infancy. Many areas of engineering that could leverage on ML include (meta)material characterization and design, computational structural design, and symbolic