16 postdoctoral-composite-materials-simulation PhD positions at Chalmers University of Technology
Sort by
Refine Your Search
-
work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
-
focus on organic semiconductors, polymer blends and composites. The group develops new plastic materials for wearable electronics and energy technologies, including organic solar cells, thermoelectrics
-
materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models to study reaction kinetics and improve catalyst
-
the Swedish Center for Sustainable Hydropower (SVC). SVC promotes collaborative research across universities and industry to support the future of hydropower. Simulations will be performed using resources from
-
novel sustainable materials. This PhD project is a great opportunity to pursue pioneering research on the scale-up of circular, biobased material solutions for architectural applications in sustainable
-
control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
-
, thermal dynamics, and charging strategies. Validate methods through simulation and collaboration with industrial partners (Volvo Group). Publish results in leading journals and present at international
-
work will build on and extend an advanced in-house time-domain simulation tool for wheel–rail interaction and noise. The project is carried out in close collaboration with DB InfraGO, the German railway
-
of waveforms for satellite communication and radar systems communication/radar system performance analysis using theory and simulation field tests in relevant operating conditions retrieval of geophysical
-
. Of particular interest is the investigation of compositional methods for constructing runtime monitors. The candidate will build on the latest advances in formal methods and learning theory, to develop methods