Sort by
Refine Your Search
-
quantum memories exhibit long coherence times and high-fidelity local control, photons remain the most practical carriers for communication. The transduction step that maps quantum states from physical
-
questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
-
for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Application process
-
to contact us. You will find contact persons at the bottom of the jobpost. The recruitment process will include an online first-round interview (April 30th and May 1st, 2026), during which shortlisted
-
sodium based glass-ceramic electrolytes for solid-state batteries. The project aims to deliver safer, more affordable batteries by focusing on sodium oxide materials that are chemically robust and easier
-
developing solid teaching skills. You are willing to work with problem-based learning and to involve students actively in their own learning processes through project work, supervision and dialogue-based
-
engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
-
forward to receiving your application. Join us and help shape the future of safe autonomous systems. Description of the project This project aims to develop novel strategies for safe and adaptive navigation
-
of the PhD student shall be assessed at regular points in time. The ideal candidate will have some of the following skills: Localization and sensor fusion: Solid understanding of localization techniques and
-
algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory