In recent years, we observe the emergence of more and more (autonomous or manually operated) minibus services on the promise of being more flexible than mass public transport on the one hand and on the other hand more sustainable and cheaper than taxi services.
While these services currently have limited flexibility when operating autonomously, and high operation costs when operated by human drivers, advances in autonomous driving may soon lead to a higher competitiveness of such services.
However, little is known yet on how to efficiently plan for and operate these services and in particular on how to make full use of real-time demand information under uncertainty of future demand.
The aim of this PhD project is to develop algorithmic methods for planning, scheduling, and/or operation of on-demand minibus services.
The PhD candidate will be employed (1 FTE) at the Institute for Computer Science at Julius-Maximilians-Universitat Wuerzburg. The position comes with teaching obligations (5h/week during the teaching period) .
Do you
* have a Msc degree in Mathematics, Computer Science, Transport Engineering, Computational OR or similar,
* have experience with the design and implementation of algorithms and/or integer linear programming,
* enjoy modeling (read: translating a real-world problem to a tractable mathematical problem and back),
* like to present your research in written and oral form (publications and conference presentations), and i
* are excited about helping to shape the mobility of the future
?
Then don't hesitate to contact Marie Schmidt (marie.schmidt@uni-wuerzburg.de<mailto:marie.schmidt@uni-wuerzburg.de>) for further information, or send your application (including motivation letter, CV and grade list).
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