|From||"Czerski H." <H.Czerski@soton.ac.uk>|
|Date||Mon, 1 Oct 2012 23:34:39 +0000|
Postdoc job: As a Research Fellow you will design, build and deploy a novel camera for the detection of bubbles in the ocean. The main design challenges will be the construction of a novel lighting system and the development of appropriate image processing techniques. You will have a PhD in engineering or physics, be able to build electronic hardware interfaces and be proficient in programming languages such as C and MATLAB. In addition, experience of instrument development, knowledge of image processing techniques would be advantageous. This is an exciting opportunity for an enthusiastic post-doctoral researcher to make a direct contribution to ocean research. Project Principle Investigators: Steve Gunn & Helen Czerski. https://www.jobs.soton.ac.uk/Vacancy.aspx?ref=162012KR PhD student: We seek a PhD student to develop a computer model describing the effect of ocean bubbles on the exchange of gas and particles between the atmosphere and the ocean. We have an existing model that predicts the fluxes of several different gases caused by a bubble plume, and we would like develop this further in order to include surfactant-coated bubbles, a better bubble injection scheme, and the production of aerosol particles. Experimental data will be collected during a research cruise in the North Atlantic (which the successful applicant would be able to join if they wanted), and the final part of the project will be to carry out a comparison of this data with the model predictions. The ideal candidate would have a background in physics or computer science, and an interest in the ocean (although previous experience in this area is not necessary). The student will be joining a team with a mixture of theoretical, laboratory and ocean-measurement expertise, and this is a great opportunity to work in an interdisciplinary environment with an important practical application. Project Principle Investigators: Helen Czerski & Tim Leighton. http://www.findaphd.com/search/ProjectDetails.aspx?PJID=40244&LID=1427
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