met-jobs@lists.reading.ac.uk
May 2019
Message 99

[Periods|Index by:DateThreadSubjectAuthor|Date:PreviousNext|Thread:(Previous)(Next)|List Information]

[Met-jobs] Postdoc position in wave breaking

From Frederic Dias <frederic.dias@ucd.ie>
To met-jobs@lists.reading.ac.uk
Cc Frederic Dias <frederic.dias@ucd.ie>
Date Sat, 25 May 2019 18:41:47 +0100

This postdoctoral position is within a recently funded project by the European Research Council entitled HIGHWAVE. The postdoc will be based in the School of Mathematics and Statistics of University College Dublin and expected to collaborate with the other project members (two lecturers, three PhD students, three postdocs and one engineer). The wave group has an international reputation in the study of waves and computational fluid mechanics.

HIGHWAVE covers simultaneously past, present and future energetic ocean waves. The project research, associated with sustainable environmental science and technology, will help future generations to improve environmental practice. HIGHWAVE is a cutting-edge mathematical project that uses real-time raw data harvested in situ by the project team to develop new models and new algorithms. These new models will provide information about air and water exchange in oceanic environments, boulder deposits, erosion and structural damage.

Information about the project can be found on the web site of the project: https://www.highwave-project.eu

The key task of the work package in which the postdoc will work, namely the design of a novel tool to forecast the emergence of breaking waves, builds on three unique features: a wireless approach allows data to be obtained in real time, a distributed network design allows for measurement over an extended area of the ocean and Machine Learning tools allow the development of algorithms to forecast the sea state at other locations and in future.

Three 6-month winter campaigns will allow: (i) to optimise the measurement system; (ii) to develop the required analysis software; (iii) to accumulate a large data set for breaking statistics as function of wind speed, wave age and wave direction. During the first two campaigns, a 5-beam ADCP will be deployed to provide an independent comparison of the measured wave properties.

Comparison with other measurement techniques will be required to validate the new technology. The postdoc will apply Machine Learning classification methods on large stereo video datasets to extract patterns of breaking and broken waves.

The applicant must have a PhD in Ocean Engineering or Oceanography or Fluid Mechanics, and a strong background in Ocean Waves, Numerical Methods, Mathematics, and Statistics.

Applications can be submitted only by the online application form at the following link: http://www.ucd.ie/hr/jobvacancies/

Click Research Position and Mathematics & Statistics.

Job Ref: 011541

Salary range: €37,223 - €43,029 per annum

Frederic Dias

School of Mathematics & Statistics

University College Dublin

email: frederic.dias@ucd.ie


Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.