Centrum Wiskunde & Informatica (CWI) has a vacancy in the Stochastics research group for a talented PhD student on the subject of Models and methods for robust adaptable ship design for uncertain transition paths.
Recently, the International Maritime Organization (IMO) has agreed to reduce CO2 emissions of shipping by 40% in 2030 and even further by 2050. This raises tremendous challenges related to the energy transition and the transition towards autonomous ships. Ships currently designed will still be around after the transitions, requiring multiple modifications in the ship and system layout to stay relevant.
The overall goal of this project is to develop new quantitative models and solution algorithms that advance the ship design process by reducing the impact and costs of uncertain future modifications in the control of systems, the ship topology, and in particular, the routing of cables, ducts and pipes. In this context, specific challenges include (1) the limited amount of space for cables, ducts and pipes, and (2) the assembly order. To this end, we aim to extend current routing methods by including relevant aspects such as space-limitations, removability, replaceability, accessibility and uncertainty. We will also develop a new assessment approach for the assembly order.
The methods-to-be-developed will allow reservations to be made for future implementations under uncertainty and without sacrificing available space unnecessarily. The developed methods will empower the maritime sector to seamlessly transition from ships nowadays to autonomous ships with zero emissions. The analyses will be done both theoretically, as well as practically in case studies.
We offer a full-time 4-years PhD position. The student will become a member of the Stochastics group at the Center for Mathematics and Computer Science (CWI), and get his/her PhD degree from the Vrije Universiteit Amsterdam. The student will be part of a research team and will be working closely together with researchers from the Vrije Universiteit Amsterdam and with other PhD candidates at the TU Delft.
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