Sort by
Refine Your Search
-
Listed
-
Employer
- Leiden University
- Radboud University
- University of Groningen
- Utrecht University
- Delft University of Technology (TU Delft); Delft
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Leiden University; Leiden
- University of Twente
- CWI
- Erasmus University Rotterdam
- Maastricht University (UM); Maastricht
- Tilburg University
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- Vrije Universiteit Amsterdam (VU)
- 7 more »
- « less
-
Field
-
collaborative labs develop and deploy the latest technology, including sensing, data analytics, modelling, simulation, artificial intelligence, and machine learning, and function as dynamic hubs where innovative
-
such as model-based optimal control and nonlinear reset control. The goal is to push beyond commercial standards, achieving unprecedented sensitivity by overcoming mechanical and interferometric noise
-
following: soft-robotics, compliant mechanisms, mechanical metamaterials, smart materials or related topics. Capability in computer drawing, modelling and simulating. Proficient in English reading and writing
-
home office allowance of €2 per day. Reimbursement for sustainable commuting: walking, cycling, and public transportation. A monthly internet fee of €25. An Options Model in which you exchange benefits
-
additional holiday (8%) and end-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from
-
of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
-
/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques