PhD studentship in data-driven robust optimization for installation of offshore windfarms
A fully-funded scholarship is available for 3 years that covers all university tuition fees (at Home/UK level) and an annual tax-free stipend. Exceptional international students are also encouraged to apply, as further funding may be secured for the difference between international and home fees. The successful candidate will be expected to start their PhD in October 2022.
1st class honours/undergraduate degree (essential) and an excellent Masters-level qualification or equivalent (highly desirable), in a closely relevant subject such as computer science, operations research, mathematics and statistics, management science, and industrial engineering, from a recognised academic institution. If English is not your first language, you will also be required to provide evidence such as a recent UKVI recognised English language test (such as IELTS, minimum overall band score of 6.5 with no individual test score below 5.5) or a university degree completed in a recognized English speaking country.
This project focuses on the installation process of wind turbines in offshore wind farms. The project aims to develop optimization models and algorithms to identify the optimal configuration of vessel schedules to minimise installation duration and cost. Furthermore, the project aims to achieve robust installation schedules that can handle operational changes due to weather uncertainties.
The researcher is expected to achieve the following objectives:
- To develop a deterministic model to identify the optimal configuration of vessel schedules to minimise installation duration and cost.
- To design and develop computationally efficient algorithms to solve the deterministic model that will be tested on real-world scenarios.
- To develop a robust, data-driven model that incorporates the uncertainties into the deterministic model and develop computationally efficient algorithms to deal with the robust model.
Please see the following link to get further information about the project and apply.
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