11 coding-theory positions at Eindhoven University of Technology (TU/e) in Netherlands
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
degree in Electrical Engineering or closely related fields. Background in information theory, communications and signal processing. Knowledge of radar signal processing and/or coding theory is a plus
-
performed on-site at Intrinsic ID and TUM. In that way, the candidate will get the opportunity to collaborate with international experts in coding theory both at TU/e and TUM, but also to explore
-
. Main areas of interest are source coding, channel coding, multi-user information theory, security, and machine learning. We typically use information-theoretical frameworks to model the scenarios under
-
technologies—and eager to accelerate their discovery with machine learning and materials theory? Are you passionate about linking atomistic processes to device performance through computer simulations? Are you
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about mathematical systems and control theory? Do you want to develop cutting
-
control theory? Are you interested in working with next generation high-tech systems? The main challenge lies in the reliable operation of the entire system, where many interconnected modules affect each
-
control synthesis methods. We invite highly motivated students with a strong background in discrete-event systems, supervisory control theory, and formal methods to apply for the PhD position within
-
environment that brings together expertise in computational design, digital fabrication, and architectural history/theory. The project will be situated within ongoing explorations of robotic fabrication
-
members, postdocs and PhDs working on diverse fundamental and application-oriented topics in the fields of control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine
-
mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java