ETH Zurich has launched the ETH Mobility Initiative together with the Swiss Federal Railways (SBB) as first partner followed by Siemens joining in 2019 and AMAG Group AG in 2020 to further expand research and education in the area of Mobility. Additional partners are expected to join in the near future. Within this framework, a long-term research program has been established aiming at bringing together competences from academic and industrial research in the field of Future Mobility. The overarching goal is to develop solutions that address grand challenges like the decarbonization, digitalization and development of the infrastructure in the coming decades. The program is structured around annual calls over a period of ten years that supports research projects at the doctoral and post-doctoral level.
Please contact the ETH Foundation
Please download complete call documentation and templates for submission of proposals at the polybox link: Link
For more information, please, send us your requesto to mi-grants@ethz.ch
Robust machine learning for safety-critical systems: Practical robust detection of railway defects using AI
RAIL
Long-Range Obstacle Detection for Early Alert Advanced Driving Assistance Systems
LROD-ADAS
Early Detection and Assessment of Railway Substructure Moisture Problems
REASSESS
Power and Energy for the future railways
RailPower
Maintaining train schedule STABILITY and managing time table reserves via digitalized railway intervention planning
STABILITY
Empirical use and Impact analysis of MaaS
EIM
On board Monitoring for Integrated Systems Understanding & Management Improvement in Railways
OMISM
Vision-based localization and mapping for high-precision positioning of trains with on-board sensing
PROMPT
Future Environmental Performance of Swiss Freight Transport – impacts on Rail Cargo Competitiveness
FPFT
Integrated intelligent railway wheel condition prediction
INTERACT
High-Performant Mobility Simulation on a National Scale
Link
Application and practical implementation of Railway Traffic Management Systems
Link