Sort by
Refine Your Search
-
Doctoral (PhD) Student Positions in Control and Optimization for 3D Printing The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical Engineering of ETH Zurich is a
-
) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
-
), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
-
on: Synthesis and characterization of catalyst pattern with 3D porosity by electrodeposition methods Synthesis and process optimization of high aspect ratio microstructured gratings by metal assisted chemical
-
design approach for adapting and strengthening steel sections for reuse with WAAM, considering optimizations of material consumption, structural efficiency, and production constraints; Designing
-
-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
-
for integrated carbon capture and conversion technologies. Your tasks Synthesize and characterize materials for heterogeneous catalysis applications Develop synthesis-structure-properties relationships to optimize
-
Zürich (pd|z) at ETH Zurich a position in the field of design for additive manufacturing Project background Additive manufacturing (AM) offers unique advantages to optimally combine economic and
-
and safety practices. Additionally, the project proposes a novel control regime to optimize train trajectories, allowing faster speeds, later braking, and closer spacing, while maintaining safety
-
physical laws and multi-physics constraints into the GNN framework. This approach will enhance predictive accuracy, reduce computational costs, and facilitate the design, simulation, and optimization of high