Postdoc in Stochastic Optimization for Freight Transport Decarbonization - DTU Management

Tasks

• Analyze charging infrastructure constraints for logistics networks
• Design and implement stochastic programming and simulation based computational methods
• Develop mathematical models for fleet replacement charging investment and vehicle technology choice under uncertainty
• Develop stochastic and probabilistic optimization models for fleet planning under uncertainty
• Present findings at international conferences and report project progress
• Publish results in peer-reviewed journals
• Quantify cost emission and service risk trade offs across uncertain scenarios
• Translate optimization outputs into decision rules for operators and policy makers

Perks/Benefits

• Academic freedom
• Collegial respect
• International research environment

Skills/Tech-stack

C++ | Decomposition methods | Integer Programming | Julia | Large Scale MIP | Large-scale | Mathematical Optimization | Mixed Integer | Mixed-Integer Programming | Monte Carlo | Monte Carlo Simulation | MonteCarlo | Probabilistic Modeling | Python | Robust Optimization | Sample Average Approximation | Simulation | Stochastic Programming