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<p class="MsoNormal" style="background:white"><b><span style="font-family:"Calibri",sans-serif;color:#191919">PhD-Funding Opportunity</span></b><span class="apple-converted-space"><span style="font-family:"Calibri",sans-serif;color:#191919"> </span></span><span style="font-family:"Calibri",sans-serif;color:#191919">|
Gaussian Processes for Non-Linear Modelling with application to Battery State Estimation | University of Limerick | Limerick, Ireland</span><span style="color:#212121"><o:p></o:p></span></p>
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<span style="font-family:"Calibri",sans-serif;color:#191919">One full-time 4-year structured PhD position is available in the Department of Mathematics & Statistics at the University of Limerick, Ireland. The project is fully funded including fees and a tax-free
stipend (currently €22,000 but subject to Research Ireland Stipend upgrades which are currently under review, and not including additional tutorial payments). Expenses for computing equipment and a generous budget for conference travel and materials are also
provided.</span><span style="color:#212121"><o:p></o:p></span></p>
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<span style="font-family:"Calibri",sans-serif;color:black">The PhD student will develop advanced statistical machine learning approaches (exploring for eg the potential of deep gaussian processes) for application in the research field of battery technology.
This programme is in conjunction with Analog Devices, Inc. (NASDAQ: ADI). Concentrated contact with ADI researchers is a key aim of the research project, allowing the student to observe research outputs being actioned in industry settings. It is also envisaged
that, subject to visa requirements and funding, the studentship will include a placement at the Analog Garage Research Lab in Boston, MA, USA.</span><span style="color:#212121"><o:p></o:p></span></p>
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<span style="font-family:"Calibri",sans-serif;color:black">The ideal candidate for this project is a student with an undergraduate (or preferably MSc) degree in statistical science, mathematics, computer science, or physics. In the first 12 months, the student
will undertake training through several research projects focused on developing expertise in the field of Gaussian processes and application of neural networks (learning by doing), attending workshops, and mandatory PhD training in research skills provided
by the University.</span><span style="color:#212121"><o:p></o:p></span></p>
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<span style="color:#212121">Informal queries and applications (cv & cover letter) can be sent to Prof. James Sweeney at<span class="apple-converted-space"> </span></span><span style="color:black"><a href="mailto:james.a.sweeney@ul.ie" title="mailto:james.a.sweeney@ul.ie"><span style="color:#0078D7">james.a.sweeney@ul.ie</span></a></span><span style="color:#212121">.<o:p></o:p></span></p>
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<span style="color:#212121">The application deadline is November Friday 29<sup>th</sup>, 2024.<o:p></o:p></span></p>
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