This project is for self-funded students only. There is no funding attached to this project. The successful applicant will be expected to pay Tuition Fees and living expenses, from their own resources, for the duration of study.
Hoell, S., Omenzetter, P. (2016). Optimal selection of autoregressive model coefficients for damage detectability with an application to wind turbine blades. Mechanical Systems and Signal Processing, 70-71, pp. 557–577, doi: 10.1016/j.ymssp.2015.09.007.
Shabbir, F., Omenzetter, P. (2015). Particle swarm optimization with sequential niche technique for dynamic finite element model updating. Computer Aided Civil and Infrastructure Engineering, 30(5), pp. 359–375, doi: 10.1111/mice.12100.
Park, J., Law, K. (2015). A Bayesian optimization approach for wind farm power maximization. Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2015, Proc. of SPIE Vol. 9436.
Wang, L., Shahriar, R., Tan, A., Gu, Y. (2015). Optimal design of wind farm layout and control strategy. Proc. 11th World Congress on Structural and Multidisciplinary Optimisation.
This project is advertised in relation to the research areas of the discipline of Engineering. Formal applications can be completed online: http://www.abdn.ac.uk/postgraduate/apply. You should apply for Degree of Doctor of Philosophy in Engineering, to ensure that your application is passed to the correct College for processing.
NOTE CLEARLY THE NAME OF THE SUPERVISOR AND EXACT PROJECT TITLE YOU WISH TO BE CONSIDERED FOR ON THE APPLICATION FORM. Applicants are limited to applying for a maximum of 2 projects. Any further applications received will be automatically withdrawn.
Informal inquiries can be made to Dr P Omenzetter ([email protected]) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Graduate School Admissions Unit ([email protected]).
FTE Category A staff submitted: 38.60
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