PhD Studentship Data-driven and Physics-informed Wind Prediction and Turbine Control in Offshore Wind Farms

The University of Nottingham is offering PhD position in mechanical engineering. Applicants should apply before September 25, 2019.

We are seeking applications from highly motivated, enthusiastic candidates for a PhD position to start as early as possible. This 3-year PhD studentship will cover Home/EU tuition fees and an EPSRC standard tax-free stipend. Both Home/EU and Overseas applicants are welcome. The successful applicant would be situated in the Faculty of Engineering at the University of Nottingham (UK).

The project aims at reducing the cost of offshore wind power by applying the preview-based control techniques to offshore wind farms. A model of wind evolution in offshore wind farms will be established through a data-based and physics-informed approach. The model will be then tested in the model predictive control of wind turbines. The project requires strong background in mathematical modelling and numerical simulations of fluid flow.

The project involves collaborations with several academic partners both nationally and internationally.It will provide the student an attractive training environment via affiliates within the research institutes and doctor training centers hosted by the Engineering Faculty at the University of Nottingham. The collaborative and multidisciplinary nature of the project will improve the employability of the candidate and enhance career prospects in both Academia and in Industry.

The ideal candidate will hold (or expect to hold) a master degree in mathematics, mechanics, mechanical engineering, aeronautical engineering or equivalent. Excellent written and oral communication skills are required, as well as the ability to work independently and in collaboration with other group members.

Prospective candidates should contact Dr. Xuerui Mao with a Cover Letter, CV and 2 letters of recommendations

When applying for this studentship, please include the reference number (beginning ENG and supervisors name) within the personal statement section of the application. This will help in ensuring your application is sent directly to the academic advertising the studentship.


More scholarships: phd fellowship in mechanical engineering, phd position in mathematics, mechanical engineering phd scholarship, mathematics phd scholarship, phd scholarship in uk, phd fellowship at the university of nottingham

Get latest scholarships via your email! It's free!
Remember to check your email and active the subscription.
You can unsubscribe any time.
Copyright © 2019 All Right Reserved.