Current engineering methods for predicting sediment transport under waves are mainly based on insights and data from laboratory and numerical studies involving sediment of single size. However, many coastal environments comprise mixes of sediments of different size, shape and density. Complex interactions between the different sediments under wave-generated flows mean that the sediment dynamics and transport rates of the individual fractions are not fully understood or well predicted using existing tools. The PhD research project aims to improve understanding and prediction of sediment mixture dynamics and transport under waves. The research will be based on experiments carried out in the Aberdeen Oscillatory Flow Tunnel (AOFT), with further experimental work conducted in a large-scale wave flume facility as part of the Hydralab+ research project. Numerical modelling of the underlying physical processes will be used to complement the experimental work.
The successful candidate must have a first class honours degree (or equivalent) in Engineering or related discipline; candidates with a lower degree may be considered if they can demonstrate high academic potential commensurate with the challenges of successfully completing a PhD. Enthusiasm for research, an ability to think and work independently and excellent analytical skills are essential requirements.
Full funding is available for UK/EU students for the 3 years of PhD study. The funding covers tuition fees (at UK/EU rates) and a maintenance stipend of approximately £14.3k per year. Paid tutorial/demonstrating work can supplement the stipend. International students (i.e. non-UK/EU) would need to cover the difference between UK/EU and International tuition fees themselves.
Closing date: This opportunity will remain open until a suitable candidate is appointed.
Start date: 9/1/2017 (or sooner if desirable).
Enquiries/applications via e-mail to: This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it., School of Engineering, University of Aberdeen.
