Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
/Optimization research group within the Department of Mathematics. The successful candidate is expected to establish a research and teaching focus in optimization. The Department is looking for a candidate with
-
at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
-
. Functions to be developed: Develop and implement advanced Quantum Monte Carlo methods for the study of one-dimensional quantum gas mixtures with coherent coupling. Develop and optimize scientific software
-
numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
-
artificial intelligence, but their growing computational and memory demands make efficient deployment essential on resource- and energy-constrained platforms. The project will study how optimization methods
-
serves not only to optimize control but to iden- tify the physical principles governing nonlinear quantum dynamics. Matter-wave solitons were first generated by phase en- gineering of a BEC [1], and dark
-
and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful
-
candidate will contribute to cutting-edge research in optimal control theory, differential game theory, mean-field game theory, and mean-field-type game theory, developing advanced mathematical frameworks and
-
represent dynamical systems, how their stability and robustness can be characterized, and how controllers can be designed for them. Your work will combine rigorous theory, numerical methods, and applications
-
especially in thermal energy systems (for steam production), (optimal) control (MPC), physics-based modelling and optimization. Numerical optimization, scientific computing (in C/C++) and general coding