Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Work in offshore settings requires workers to engage in a variety of potentially risky, physically, and mentally demanding tasks. In 2019, 865 offshore accidents were reported, and similar numbers
-
anchoring systems for offshore floating renewable energy infrastructure. You will also have the opportunity to work as part of a vibrant research group focussed on a range of offshore engineering challenges
-
Application deadline: 31/07/2024 Research theme: Offshore renewable energy; water waves How to apply: Please click the 'Apply' button, above. The design of offshore renewable energy systems should
-
Funded PhD Studentships at the EPSRC Centre for Doctoral Training (CDT) in Offshore Wind Energy Sustainability and Resilience 4 Year PhD Programme Funding Available Students Worldwide View
-
PhD Supervisor: Prof David White Supervisory Team: Prof David White, Prof Susan Gourvenec, Dr Benjamin Cerfontaine Lead the Way in Offshore Renewable Energy Infrastructure Are you interested in
-
Supervisor: Prof. Ali Mehmanparast Project Description: Originally, the inside surface of offshore wind turbine structures was designed to be dry, and so ‘in air’ fatigue crack growth rate (FCGR
-
the development of offshore wind energy and have a passion for geotechnical engineering? This PhD position is for you. This project is a unique opportunity to contribute to the advancement of sustainable energy
-
technology and offshore wind energy, and have a passion for geotechnical engineering? This PhD position is for you. This project is a unique opportunity to contribute to the advancement of geotechnical testing
-
offshore wind turbines, maintenance and repair are often arduous and costly. Operational wear, as well as damage from isolated events like impacts, can substantially compromise material integrity. Moreover
-
modelling, and (iii) investigate the linkages between offshore wave climate and runup processes. Training: This multidisciplinary project will provide the student with training in: (i) field data collection