<meta http-equiv="Content-Type" content="text/html; charset=utf-8"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div>Dear all,</div><div><br></div><div>
<div><div>There is a PhD<span class="gmail-m_9103150074583223702gmail-m_8668200145299705480gmail-il"></span> position available in
the School of Mathematics, Trinity College Dublin, the University of
Dublin, Dublin, Ireland.</div>
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<span><p></p><p>PhD Position in Applied Mathematics<br><br>We are looking for a Ph.D. student in applied mathematics. The student would be situated in the School of Mathematics at Trinity College Dublin supervised by Professor Kirk M. Soodhalter. This project is in collaboration with a biomedical engineering team focusing on neurophysiology and neural signal analysis, based in the Academic Unit of Neurology, Trinity College Dublin (led by Dr. Bahman Nasseroleslami), with the biomedical statistics and multimodal signal processing unit, Department of Neurology, Johannes-Gutenberg-University Hospital (led by Prof. Dr.- Ing. M. Muthuraman). The overarching project is multidisciplinary and focuses on the analysis of the brain activity and connectivity in health and disease, but this Ph.D. position is focused on the mathematical component and requires an applicant with a strong applied mathematical background, with the goal of earning a Ph.D. in mathematics.</p></span>
</div><div>Duties: The Ph.D. student will work in collaboration to develop new mathematical foundations to exploit the structures in the neural time series (EEG) in order to develop efficient new iterative methods for realistic mapping of the sensor-space EEG activity to the underlying brain source.<br>The work involves the following tasks:<br>• Gain a full mathematical understanding of the existing (BEM/FEM) model of the electrical conduction differential equations in 3D brain models<br>• To use iterative solution techniques to access the activity of the brain sources that are typically less-accessible by the existing non-iterative methods.<br>• To find new regularisation methods using penalty functionals that are directly defined based on the brain’s neuroelectric behaviour<br>• Develop techniques to apply an inverse mapping on the data which preserves important structural characteristics of the data<br>• Contribute to/produce peer-reviewed publications and open toolboxes for EEG/MEG source analysis</div><div><br></div><div>The PhD studies at Trinity College are conducted over a 4-year period, fulltime, and involve engagement with undergraduate tutorial delivery. This position is open for EU citizens.</div><div><br></div><div>Qualifications: Eligible candidates for the position must have a Masters or equivalent degree in mathematics. The candidate is expected to have a solid background in applied mathematics with experience in numerical analysis, numerical PDEs, integral equations, multivariate statistics/linear algebra, and inverse problems. Having done a Masters thesis, bachelors project, or other such work in inverse problems or a related field would be an asset, and strong consideration will be given to such candidates.</div><div><br></div><div>Remuneration: €16,000 per annum plus Trinity EU student fees.<br></div><div><br></div><div>Entrance to position: preferably September 2019<br></div><div><br></div><div>For more information please contact: Kirk M. Soodhalter, <a href="mailto:ksoodha@maths.tcd.ie">ksoodha@maths.tcd.ie</a>.<br></div><div><br></div><div>Application: Application packages need to contain a CV, a letter of motivation, copies of degree certificates, and relevant course transcripts along with contact details of at least two academic referees. Mark your application with the reference number #MathNeuro01. The candidate must have, or soon receive, a degree that permits him/her to enter a Ph.D. program. This might be a Masters degree, a "Diplome", an Honours Bachelor or 4-year Bachelor, or equivalent. Candidates need to graduate before 1 September 2019. By the time of appointment, candidates will have shown evidence of English language proficiency (test certificate).<br></div><div><br></div><div>Application Deadline: 30th April, 2019<br></div><div>
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<div>The detailed job description file (PDF) and the application instructions can be found online at <a href="http://maths.tcd.ie/~ksoodha/phd2019">http://maths.tcd.ie/~ksoodha/phd2019</a>. <br></div><br><div></div><div>It would be really appreciated if you could share this with those that may be interested.<br><br>Sincerely<br>Bahman <br></div><div><br></div></div>
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