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<span style="font-family: 'Segoe UI', Helvetica, Arial, sans-serif; font-size: 12.79px;">Fully funded PhD studentship in Aston University, UK</span><br>
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<p class="MsoNormal" style="font-size: 13.3333px;"><a href="https://jobs.aston.ac.uk/Vacancy.aspx?ref=R160152" target="_blank" style="font-size: 10pt;">http://www.jobs.ac.uk/job/ANN825/ecg-derived-biosignals/</a></p>
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<span style="margin: 0px; padding: 0px;">Applications are invited for a three year Postgraduate studentship, supported by the School of Engineering and Applied Science, to be undertaken within the<span style="margin: 0px; padding: 0px;"> </span><a href="http://www.aston.ac.uk/eas/research/groups/ncrg/" style="margin: 0px; padding: 0px; color: rgb(0, 101, 124);"><span style="margin: 0px; padding: 0px;">Non-linearity
and Complexity Research Group</span></a><span style="margin: 0px; padding: 0px;"> </span>at Aston University. The successful applicant will join an established experimental group working on signal processing and probabilistic modelling and control of complex
dynamical systems. The studentship is offered in collaboration with<span style="margin: 0px; padding: 0px;"> </span><a href="http://www.isansys.com/" style="margin: 0px; padding: 0px; color: rgb(0, 101, 124);"><span style="margin: 0px; padding: 0px;">Isansys
Ltd</span></a>, Oxford.</span></p>
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<strong style="margin: 0px; padding: 0px;">The position is available to start in October 2016 (subject to negotiation)</strong><span style="margin: 0px; padding: 0px;"></span></p>
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<strong style="margin: 0px; padding: 0px;">Financial Support</strong><strong style="margin: 0px; padding: 0px;"><span style="margin: 0px; padding: 0px;"><br style="margin: 0px; padding: 0px;">
</span></strong><span style="margin: 0px; padding: 0px;">This studentship includes a fee bursary to cover the home/EU fees rate plus a maintenance allowance (£14,296 in 2016/17).</span></p>
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<span style="margin: 0px; padding: 0px;">Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees (approximately £12,000 per annum). <span class="apple-converted-space" style="margin: 0px; padding: 0px;"></span><strong style="margin: 0px; padding: 0px;"><span style="margin: 0px; padding: 0px;">Confirmation
that this additional funding support is in place will be required as part of the application process.</span></strong></span></p>
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<strong style="margin: 0px; padding: 0px;">Background of the Project</strong><strong style="margin: 0px; padding: 0px;"><span style="margin: 0px; padding: 0px;"><br style="margin: 0px; padding: 0px;">
</span></strong><span style="margin: 0px; padding: 0px;">In collaboration with<span class="apple-converted-space" style="margin: 0px; padding: 0px;"> </span><a href="http://www.isansys.com/" style="margin: 0px; padding: 0px; color: rgb(0, 101, 124);"><span style="margin: 0px; padding: 0px;">Isansys
Ltd</span></a>, Oxford, this project will focus on detailed linear and nonlinear signal processing of biomedical time series derived directly from low-level sensor data. The intention is to reliably and robustly extract physiological parameters linked to raw
electrocardiogram signals which would be beneficial for monitoring, prognostic prediction and advisory decision support in a clinical environment. Current approaches for extracting physiological parameters such as breathing rate, heart rate variability and
other novel indicators of well-being such as the effort of breathing and signal complexity for example, will be developed to work with a full age range of patients in a hospital situation. Predictive modelling approaches in this nonstationary and uncertain
environment using such indicators will be researched towards improving the capability to forewarn of impending patient distress.</span></p>
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<strong style="margin: 0px; padding: 0px;">Person Specification</strong><strong style="margin: 0px; padding: 0px;"><span style="margin: 0px; padding: 0px;"><br style="margin: 0px; padding: 0px;">
</span></strong><span style="margin: 0px; padding: 0px;">The successful applicant should have a first class or upper second class honours degree or equivalent qualification in areas such as Electronic & Electrical Engineering, Applied Mathematics, Applied Physics
or Biomedical Engineering. Preferred skill requirements include knowledge/experience of signal processing, filters, machine learning, time series methodologies, data mining and computational analysis. </span></p>
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<span style="margin: 0px; padding: 0px;">We would particularly like to encourage applications from women seeking to progress their academic careers. Aston University is committed to the principles of the<span style="margin: 0px; padding: 0px;"> </span><a href="http://www.ecu.ac.uk/equality-charter-marks/athena-swan/" style="margin: 0px; padding: 0px; color: rgb(0, 101, 124);"><span style="margin: 0px; padding: 0px;">Athena
SWAN Charter</span></a>, recognised recently by a prestigious Silver Award to EAS, and we pride ourselves on our vibrant, friendly and supportive working environment and family atmosphere.</span></p>
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<span style="margin: 0px; padding: 0px;"><font color="#333333">For informal enquiries about this project and other opportunities within the Non-linearity and Complexity Research Group, contact Randa Herzallah by email</font><span class="apple-converted-space" style="color: rgb(51, 51, 51); margin: 0px; padding: 0px;"> </span><span style="color: rgb(0, 101, 124); margin: 0px; padding: 0px;"><a href="mailto:r.herzallah@aston.ac.uk" style="margin: 0px; padding: 0px; color: rgb(0, 101, 124);">r.herzallah@aston.ac.uk</a> </span><span style="margin: 0px; padding: 0px;">or
David Lowe</span><span style="color: rgb(0, 101, 124); margin: 0px; padding: 0px;"> d.lowe@aston.ac.uk</span></span></p>
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<span style="margin: 0px; padding: 0px;">The online application form, reference forms and details of entry requirements, including<span class="apple-converted-space" style="margin: 0px; padding: 0px;"> </span><strong style="margin: 0px; padding: 0px;"><span style="margin: 0px; padding: 0px;">English
language</span></strong><span class="apple-converted-space" style="margin: 0px; padding: 0px;"> </span>are available<span class="apple-converted-space" style="margin: 0px; padding: 0px;"> </span><a href="http://www1.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/" style="margin: 0px; padding: 0px; color: rgb(0, 101, 124);"><span style="margin: 0px; padding: 0px;">here</span></a>.</span></p>
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<strong style="margin: 0px; padding: 0px;">Applications must also be accompanied by a short research proposal including a brief relevant literature review linked to this project, and explaining how your knowledge and experience will benefit the project.</strong></p>
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<font size="3" face="Calibri"><span style="font-size:12pt"><font size="2" color="#808080"><span style="font-size:9pt">____________________________________________</span></font></span></font></div>
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<font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" color="#333300" face="Calibri,sans-serif"><span style="font-size:9pt"><b>Dr Randa Herzallah</b></span></font></span></font></div>
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<font size="3" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" color="#333300" face="Calibri,sans-serif"><span style="font-size:9pt">Non-linearity and Complexity Research Group</span></font></span></font></div>
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<font size="3" color="#333300" face="Times New Roman,serif"><span style="font-size:12pt"><font size="2" face="Calibri,sans-serif"><span style="font-size:9pt">Aston University</span></font><font size="2" face="Calibri,sans-serif"><span style="font-size:9pt"><br>
Aston Triangle</span></font></span></font></div>
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