Student (m/f/d) for a Master’s Thesis

In this role, you will extend a large-scale airline network optimization model by incorporating supply-demand interactions into passenger flows, flight frequencies, and aircraft deployment A key part of the work will involve reviewing literature on demand modeling in airline and transportation optimization, with a focus on tractable elastic-demand and choice-based approaches Based on this review, you will develop a model extension that links demand to service characteristics such as connectivity, travel time, or network structure The proposed approach will be implemented in Python, integrated into the existing optimization framework, and tested on selected instances Finally, you will compare the results with a fixed-demand baseline, analyze the effects on network design, and evaluate the trade-offs between realism and tractability

You are an enrolled master’s student (m/f/d) in Operations Management, Operations Research, or a related quantitative field You are interested in mathematical optimization, quantitative modeling, and decision-support models for complex systems You ideally have experience in optimization, transport systems, or data-driven analysis through coursework, projects, or research You have experience with Python and are comfortable implementing and testing quantitative models; Gurobi experience is an advantage You are motivated to work at the interface of optimization and demand modeling; interest in aviation or airline operations is a plus