Doctoral Position in Robust Railway Intervention Planning under Uncertainty

ETH ZürichZurichDirector
Active

Job description

Job description This doctorate aims to develop uncertainty-aware methods and optimisation algorithms for robust intervention planning and resource forecasting in railway infrastructure management. Characterising and propagating the principal sources of uncertainty in intervention planning and resource usage across multiple time horizons and asset categories Extending mixed-integer linear programming models through stochastic and robust optimisation to compute robust intervention programs Contributing to the design of a GIS-based decision-support platform that integrates asset data, intervention plans, and uncertainty analytics Validating the developed methods against historical and planned SBB corridor data

Job description

This doctorate aims to develop uncertainty-aware methods and optimisation algorithms for robust intervention planning and resource forecasting in railway infrastructure management. Characterising and propagating the principal sources of uncertainty in intervention planning and resource usage across multiple time horizons and asset categories Extending mixed-integer linear programming models through stochastic and robust optimisation to compute robust intervention programs Contributing to the design of a GIS-based decision-support platform that integrates asset data, intervention plans, and uncertainty analytics Validating the developed methods against historical and planned SBB corridor data

This doctorate aims to develop uncertainty-aware methods and optimisation algorithms for robust intervention planning and resource forecasting in railway infrastructure management.

  • Characterising and propagating the principal sources of uncertainty in intervention planning and resource usage across multiple time horizons and asset categories
  • Extending mixed-integer linear programming models through stochastic and robust optimisation to compute robust intervention programs
  • Contributing to the design of a GIS-based decision-support platform that integrates asset data, intervention plans, and uncertainty analytics
  • Validating the developed methods against historical and planned SBB corridor data