Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Delft University of Technology (TU Delft); today published
- Leiden University
- University of Groningen
- Delft University of Technology
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e); yesterday published
- Leiden University; today published
- University of Amsterdam (UvA); yesterday published
- University of Groningen; Groningen
- University of Twente
- 6 more »
- « less
-
Field
-
opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
-
the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you have a background in deep learning and computer vision? Are you
-
Do you have a background in deep learning and computer vision? Are you independent, creative and eager to take initiatives? Do you enjoy working in an international research group and interacting
-
, conference presentations, and ultimately a PhD dissertation. The PhD thesis is to be completed within four years. You are also requested to teach. You will work with the following supervisory team: - Dr. Frank
-
. Collaboration is central: you’ll work alongside government agencies, industry partners, and cross-disciplinary research teams. In VTI’s open and reflective environment, you’ll benefit from cross-section learning
-
environment, you’ll benefit from cross-section learning, strong mentorship and tailored training. With minimal hierarchical barriers and access to state-of-the-art facilities, labs and equipment , you’ll be
-
to generate the next generation of extremely sensitive inertial sensors for application in big-science projects and high-tech industry where there is an urgent need for improved active vibration isolation while
-
be completed within four years. You are also requested to teach. You will work with the following supervisory team: - Dr. Frank Harbers (co-promoter) - Dr. Rik Smit (co-promoter) - Dr. Scott A
-
, conference presentations, and ultimately a PhD dissertation. The PhD thesis is to be completed within four years. You are also requested to teach. You will work with the following supervisory team: Dr. Frank