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<p class="MsoNormal"><span style="color:black">Dear all, <o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">(with apologies for cross-posting)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black">We are inviting applicants for <b>
<u>two</u></b> fully funded PhD scholarships in data visualisation for population health.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">The projects aim to innovate new visualisation techniques to support decision-making that improves the life chances of young people. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black">Based at the reputable giCentre (<a href="https://www.gicentre.net/" title="https://www.gicentre.net/">https://www.gicentre.net/</a>), t<span class="contentpasted6"><span style="background:white">he doctoral students
will benefit from a highly dynamic research environment with a community of researchers from City, University of London and will work closely with population health experts and stakeholders at the </span></span>purpose-built Wolfson Centre for Applied Health
Research (<a href="https://wolfsoncahr.uk/">https://wolfsoncahr.uk/</a>). This highly collaborative working environment supports real-world, interdisciplinary research that improves the health and wellbeing of underrepresented communities. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"> <o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span style="color:black">The first project has a machine learning / visual analytics focus and will look into ways to facilitate the communication between public health decision makers and data-driven insight:<span class="contentpasted0"> </span><a href="https://www.jobs.ac.uk/job/DCN363/phd-in-visualisation-developing-and-visualising-a-retrieval-augmented-deep-learning-model-for-population-health">https://www.jobs.ac.uk/job/DCN363/phd-in-visualisation-developing-and-visualising-a-retrieval-augmented-deep-learning-model-for-population-health</a><o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span style="color:black"> <o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span style="color:black">The second opportunity focuses on the storytelling power of visualisation and aims to design novel techniques that inform and empower communities of health service users to have a voice
in designing better systems to maintain their health:<span class="contentpasted0"> </span><a href="https://www.jobs.ac.uk/job/DCN354/phd-in-visualisation-design-and-development-of-embedded-dashboards-for-routine-data-to-support-decision-making">https://www.jobs.ac.uk/job/DCN354/phd-in-visualisation-design-and-development-of-embedded-dashboards-for-routine-data-to-support-decision-making</a><o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span style="color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="color:black">Start date:</span></b><span style="color:black"> Available to start from February 2024.<o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><b><span style="color:black">Duration:
</span></b><span style="color:black">The scholarships run for 3.5 years.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black"> <span class="contentpasted5">In addition to project-specific requirements (please refer to the links above), the successful candidates will be able to provide evidence of the following competences:</span> <o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Strong written and oral communication skills<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
MSc degree in Computer Science or a closely related field<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Research experience in one or more of the following fields: Human-computer interaction, visualisation, machine learning, population health. <o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Excellent software engineering skills<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
Ability to work in an interdisciplinary team<o:p></o:p></li></ul>
<p class="xmsonormal" style="background:white"><span style="color:black">To enquire about these opportunities, please contact Dr Mai Elshehaly (<a href="mailto:Mai.Elshehaly@city.ac.uk">Mai.Elshehaly@city.ac.uk</a><span class="contentpasted0"> </span>) or Prof.
Jo Wood (<span class="contentpasted0"> </span><a href="mailto:J.D.Wood@city.ac.uk">J.D.Wood@city.ac.uk</a>).<o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span style="color:black"> <o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><b><span style="color:black">NB:</span></b><span style="color:black"> Due to funder regulations, these opportunities are for UK “Home” candidates only.<o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal">Best wishes, <o:p></o:p></p>
<p class="MsoNormal">Mai<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<span style="mso-fareast-language:EN-GB"><img border="0" width="103" height="147" style="width:1.0763in;height:1.5277in" id="Picture_x0020_1" src="cid:image001.png@01D9F516.3984A420" alt="City, University of London logo"></span><span style="font-family:"Times New Roman",serif;mso-ligatures:none;mso-fareast-language:EN-GB"><o:p></o:p></span></p>
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<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB">Mai Elshehaly, PhD, FHEA<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB">Lecturer in Visualisation,
<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB">Department of Computer Science<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB">City, University of London<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB">Northampton Square<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB">London EC1V 0HB<o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB"><a href="https://bit.ly/MaiElshehaly"><span style="color:blue">https://bit.ly/MaiElshehaly</span></a><o:p></o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-family:"Arial",sans-serif;mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal" style="text-autospace:none"><span style="font-size:10.0pt;font-family:"Arial",sans-serif;mso-fareast-language:EN-GB">Personal webpage:</span><span style="font-family:"Times New Roman",serif;color:#C82835;mso-fareast-language:EN-GB">
<a href="http://invisai.com/mai"><span style="color:blue">http://invisai.com/mai</span></a><o:p></o:p></span></p>
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