Postdoc in Stochastic Optimization for Maritime Logistics - DTU Management

Opportunity summary

Bulk shipping plays a vital role in global trade, transporting commodities such as iron ore, coal, grain, and fertilizer. Unlike liner shipping, bulk vessels operate without fixed schedules or predetermined routes, requiring operators to continuously adapt vessel deployments and cargo assignments to changing market opportunities and operational constraints. These planning decisions are further complicated by a range of uncertainties, including weather conditions, port operations, and cargo-specific requirements. A critical but often overlooked challenge is the uncertainty associated with cargo hold cleaning and the associated inspection processes, which can significantly affect vessel schedules, operational costs, and emissions SCRUB (Scheduling, Cleaning and Routing under Uncertainty in Bulk Shipping) is a 2-year research project that aims to develop novel mathematical models and decision-support tools that explicitly account for uncertainties related to cleaning operations, inspection outcomes, weather conditions, and other operational processes. The project will combine real-world industry data and close collaboration with a Danish bulk shipping company to develop advanced optimization and analytics methods that improve routing, scheduling, and fleet utilization decisions while enhancing the robustness of operational schedules in the presence of uncertainty1 …

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