Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
: Microphone array processing. Acoustic measurements. Statistics and machine learning. Optimization and inverse problems. Excellent communication skills. Your primary responsibilities will be: Conduct original
-
frequency combs (OFCs), and their monolithic integration for applications in classical as well as quantum communication. The PhD student will participate in an international team in an EU-funded Doctoral
-
materials and constructions. Use Material Flow Analysis (MFA) to explore optimal treatment pathways based on material composition. Collaborating with fellow doctoral researchers across the SCARPA network
-
, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
-
). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision that: You have an open mind and can think
-
waveguide devices based on silicon carbide material. The overall aim is to demonstrate devices for application in quantum communication. The PhD student will participate in an international team in an EU
-
the redistribution of the phases present, reaction mechanisms will be investigated and the information gained will be used for optimization of the battery. The position is part of the INCEPTION Doctoral Network
-
funded PhD scholarships (3-year employment) in a vibrant interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization for light trapping in thin