2 optimization-nonlinear-functions positions at DAAD in Germany

End-to-End Hydrological Modelling Using Machine Learning: Leveraging Transformers and Opportunistic Sensor Data for Hydrological PredictionsFull PhD

DAAD | Germany | about 4 hours ago

, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch

Research Associate / PhD Student (m/f/x)Full PhD

DAAD | Germany | 21 days ago

prediction of queue dissolution by combining traffic flow theory with data from roadway and AMOD sensors, nonlinear optimization of the signal plan, cooperative control of traffic signals and AMOD vehicle