Sort by
Refine Your Search
-
of interdisciplinary initiatives across the university. Department of Computer Science has an available 100% temporary position as Phd fellow in mathematical modelling. Your main duties and areas of responsibility
-
wind propulsion devices. The work will focus on data-driven modelling, routing optimization, and control strategies for wind-assisted vessels. Relevant research topics include voyage optimization under
-
and accelerate the development of more high-performing PNSEs. The ultimate goal of the project is to develop, implement, and validate novel deep-learning models for molecular dynamics and coarse-grained
-
during wind turbine maintenance by experimentally modelling these factors. Through controlled experiments using Virtual Reality (VR) simulations, combined with physiological sensors (such as fNIRS, IMUs
-
of the following areas: robotics, machine learning, robot perception, underwater systems, nonlinear control, system modelling, or autonomous manipulation Strong programming skills and a solid
-
design, manufacture, and validate metamaterial-based protective structures. Key objectives include: Building a computational framework that integrates explicit dynamic simulations, constitutive models
-
, GenAI models act as probabilistic black boxes, often producing plausible but factually incorrect information without source attribution. This poses unacceptable risks particularly in high-stakes domains
-
. Experience with programming, modelling, statistical analysis, or the use of data analytics, machine learning or artificial intelligence methods is desirable. Personal qualities Strong ability to follow through
-
within social innovation, social connection and quality of life, as well as the Senior Technology Acceptance Model (STAM). The project will contribute to the development of age-friendly technology
-
closed-loop interventions for health, with extensions to robotic control. The core technical deliverable is a working prototype chip validated for bilateral gait and balance monitoring under controlled lab