Sort by
Refine Your Search
-
Country
-
Employer
- Czech Technical University in Prague
- Princeton University
- NEW YORK UNIVERSITY ABU DHABI
- Instituto Superior Técnico
- Linköping University
- Northeastern University
- Rochester Institute of Technology
- Swedish University of Agricultural Sciences
- Texas A&M University
- University of Amsterdam (UvA)
- University of Delaware
- 1 more »
- « less
-
Field
-
or equivalent Specific Requirements PhD from Electrical Engineering Very good publication record Experience in Power System Simulation (distributed generation, smart grids, power system stability
-
publication record demonstrating technical writing skills is essential (preprints are welcome). Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical
-
comments Mentor: Jan Mikeš, Faculty of Electrical Engineering, Mikes.jan@fel.cvut.cz , https://leee.fel.cvut.cz/AboutUs.html#content5-v https://leee.fel.cvut.cz/Projects.html#content8-17 ORCID 0000-0003-2219
-
negotiable. Additional comments Mentor: Daniel Novak, Faculty aof Electrical Engineering, Cybernetics, xnovakd1@fel.cvut.cz cz.linkedin.com/in/novakdaniel https://scholar.google.com/citations?hl=en&user
-
background who expect to obtain a PhD in a related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal
-
19 Dec 2025 Job Information Organisation/Company Linköping University Department Department of Science and Technology Research Field Engineering » Materials engineering Physics » Chemical physics
-
seek to form a team of dedicated researchers who are committed to exploring the generative possibilities of engaged scholarship. The research team – consisting of three PhD candidates, one postdoctoral
-
, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally
-
environment capable of predicting the most convenient location to place the electric vehicle (EV) charging stations and optimize both the usage of the power grid resources, and the charging stations
-
governance. Additionally, the researcher may attend local faculty governance meetings to observe and analyze participation practices directly and learn about current issues related to governance