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<p><b>Postdoctoral position in Machine Learning for Space Physics at the University of Southampton<o:p></o:p></b></p>
<p><a href="https://jobs.soton.ac.uk/Vacancy.aspx?ref=1170019WF">https://jobs.soton.ac.uk/Vacancy.aspx?ref=1170019WF</a><o:p></o:p></p>
<p style="margin-bottom:12.0pt">Closing Date: <b>Friday 06 September 2019</b><o:p></o:p></p>
<p>The research will involve application of machine learning techniques to classify magnetic reconnection events in planetary magnetotails. The post is supervised by Dr. Caitriona Jackman, and is funded through her fellowship of the Alan Turing Institute, the
national centre of excellence for data science and artificial intelligence. <o:p></o:p></p>
<p>The post is funded for 12 months in the first instance due to funding restrictions.<o:p></o:p></p>
<p>Candidates should have a *PhD or equivalent professional qualifications and experience in space science, astronomy, computer science, or other closely related discipline. Experience with machine learning and/or planetary magnetospheres is highly desirable.<o:p></o:p></p>
<p><em>* Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior
to the qualification being awarded the title of </em><strong><i>Senior Research Assistant</i></strong><em> will be given.</em><o:p></o:p></p>
<p>For further details, please contact Dr. Caitriona Jackman via email <a href="mailto:c.jackman@soton.ac.uk">
c.jackman@soton.ac.uk</a>.<o:p></o:p></p>
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