<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=Windows-1252">
<style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style>
</head>
<body dir="ltr">
<div class="elementToProof" style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt; color: black;">
Dear Colleagues </div>
<div class="elementToProof" style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt; color: black;">
<br>
</div>
<div class="elementToProof" style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt; color: black;">
Exciting PhD opportunity! <br>
<br>
Apply cutting-edge AI to revolutionise human activity recognition using wearable accelerometers. Unlock insights from massive datasets, improve healthcare, and shape the future of personalised interventions.<br>
<br>
Join our team BERG <a href="https://lnkd.in/g5ZrucBM" id="OWAd06b23df-bc2b-929f-774e-94e9c9698b70" class="OWAAutoLink" data-auth="NotApplicable" style="text-align: left;">
https://lnkd.in/g5ZrucBM</a> and LLRG <a href="https://lnkd.in/ebXAgB2B" id="OWA3d8edaf5-fe4d-ac66-e771-a65fff333c48" class="OWAAutoLink" data-auth="NotApplicable" style="text-align: left;">
https://lnkd.in/ebXAgB2B</a> !</div>
<div class="elementToProof" style="direction: ltr; margin: -1px; display: block; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt;">
<br>
</div>
<div class="elementToProof" style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt;">
<a href="https://www.linkedin.com/feed/hashtag/?keywords=airesearch&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7282344980537348098" id="OWA4fade78b-66dc-3f0c-df26-13b050c8aa67" class="OWAAutoLink" data-auth="NotApplicable" style="text-align: left;">#AIResearch</a>
</div>
<div class="elementToProof" style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt;">
<a href="https://www.linkedin.com/feed/hashtag/?keywords=phdposition&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7282344980537348098" id="OWA809aef2c-9fd9-d85a-bc91-b17c15be1207" class="OWAAutoLink" data-auth="NotApplicable" style="text-align: left;">#PhDPosition</a></div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt; color: black;">
<a href="https://www.linkedin.com/feed/hashtag/?keywords=healthtech&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7282344980537348098" id="OWA2b6949ee-41e6-cf90-d9fd-519d18b5eeb4" class="OWAAutoLink" data-auth="NotApplicable" style="text-align: left;">#HealthTech</a>.
Project with <a href="https://www.linkedin.com/in/alex-rowlands-0699b7146/" id="OWAb1d3e439-cfff-2a62-508d-1cf3a5f3b56c" class="OWAAutoLink" data-auth="NotApplicable">
Alex Rowlands</a> and <a href="https://www.linkedin.com/in/tom-yates-18737b2b1/" id="OWAbe1ed779-0f6b-91c0-6201-a141fa9a4643" class="OWAAutoLink" data-auth="NotApplicable">
Tom Yates</a>.<br>
<br>
Project title: Human Activity Recognition using Self-supervised Learning AI Architectures for Wearable Accelerometers in Free-Living Scenarios<br>
<br>
Background: Wearable tri-axial accelerometers have been demonstrated as a capable technology for monitoring human activity levels and generating behavioural feedback for preventing chronic disease and comorbidity. Activity levels, sleep and sedentary behaviour
are routinely classified from accelerometer data based on signal magnitudes and/or orientation, but deeper insights may be obtained by identifying specific activities and their complex temporal relationships – so-called human activity recognition (HAR). For
instance, deeper understanding of daily behaviour profiles across sub-types of type 2 diabetes could support personalisation of interventions and disease management.<br>
<br>
While accurately recognising and interpreting human activities from wearable accelerometer time-series data for patients in the community offers potential to unlock valuable insights for improving healthcare and healthy ageing, accurate time-resolved HAR in
a free-living context is still challenging. There is a lack of ‘ground truth’ data in free-living contexts and many datasets are collected in artificial laboratory settings with limited wider application to lifestyle research. Moreover, traditional data analysis
(e.g. probabilistic and statistical) methods can struggle with the complexity of these data to capture the variability and the rich repertoire of human behaviour in the free-living context. Hence there has been a call to apply recent advances in AI to tackle
large unlabelled free-living accelerometery datasets to unlock behavioural insights.<br>
<br>
This project will explore the development of self-supervised AI architectures to unlock behavioural insights in large accelerometry data-sets. These architectures promise a reduced need for manual labelling, improved generalisation, performance gains on downstream
tasks, capture of complex temporal dependencies, adaptability to real-world variability and the potential for personalisation and scalability.<br>
<br>
Please contact me to discuss <a href="mailto:t.c.pearce@le.ac.uk" id="OWA7481b9bd-faae-5927-4854-7ecba6eb33d4" class="OWAAutoLink" style="text-align: left;">
t.c.pearce@le.ac.uk</a></div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt; color: black;">
Application link and more project details here: <a href="https://lnkd.in/egQrqXqg" id="OWA8b226605-c789-2966-6f56-a3618c1c122c" class="OWAAutoLink" data-auth="NotApplicable" style="text-align: left;">
https://lnkd.in/egQrqXqg</a></div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt; color: black;">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 11pt; color: black;">
<br>
</div>
<div id="x_Signature" style="color: inherit;">
<div style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 11pt; color: black;">
Best, Tim.</div>
<p style="margin-top: 0px; margin-bottom: 0px;"><span style="font-family: Verdana; font-size: 10pt;">--</span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px; color: rgb(0, 84, 147);">Tim C. Pearce, PhD FInstP SFHEA (he/him/his) </span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px; color: rgb(0, 84, 147);"><i>Reader in Bioengineering </i></span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px; color: rgb(0, 84, 147);"><i><br>
</i></span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 9.75pt;">Advance notice of leave: away from 9th December onwards until New Year</span><span style="font-family: Verdana; font-size: 13px; color: rgb(0, 84, 147);"><i>.</i></span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px; color: rgb(0, 84, 147);"> </span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px;">Biomedical Engineering Research Group (BERG)<br>
School of Engineering</span><span style="font-family: Helvetica, sans-serif; font-size: 13px; color: rgb(0, 84, 147);"><br>
</span><span style="font-family: Verdana; font-size: 13px; color: black;">University of Leicester
</span><span style="font-family: Verdana; font-size: 13px; color: red;"><b>|</b></span><span style="font-family: Verdana; font-size: 13px; color: black;"> University Road</span><span style="font-family: Verdana; font-size: 13px; color: red;"><b> |</b></span><span style="font-family: Verdana; font-size: 13px; color: black;"> Leicester
</span><span style="font-family: Verdana; font-size: 13px; color: red;"><b>| </b>
</span><span style="font-family: Verdana; font-size: 13px; color: black;">LE1 7RH<b>
</b></span><span style="font-family: Verdana; font-size: 13px; color: red;"><b>|</b></span><span style="font-family: Verdana; font-size: 13px; color: black;"> UK</span><span style="font-family: Verdana; font-size: 13px;"> </span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 10pt; color: black;"><br>
</span><span style="font-family: Verdana; font-size: 13px; color: rgb(187, 0, 0);"><b>t:</b></span><span style="font-family: Verdana; font-size: 13px; color: black;"> +44 (0)116 223 1290<br>
</span><span style="font-family: Verdana; font-size: 13px; color: rgb(187, 0, 0);"><b>e:
</b></span><span style="font-family: Verdana; font-size: 13px; color: blue;"><u>t.c.pearce@le.ac.uk</u></span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px; color: rgb(192, 0, 0);"><b>w:</b>
<a href="https://le.ac.uk/people/tim-pearce" id="OWAa5aa0e3f-f7a5-ad53-f01c-af83e10172f1" class="OWAAutoLink" data-auth="NotApplicable" style="margin-top: 0px; margin-bottom: 0px;">
https://le.ac.uk/people/tim-pearce</a></span></p>
<div style="text-align: left; text-indent: 0px; margin: 0px; font-family: Verdana; font-size: 13px; color: rgb(192, 0, 0);">
<b>w: </b><a href="https://le.ac.uk/engineering/research/berg" id="OWAde075f35-52a5-7da8-2c97-215173809f98" class="OWAAutoLink" data-auth="NotApplicable" style="margin: 0px;">https://le.ac.uk/engineering/research/berg</a></div>
<div style="text-align: left; text-indent: 0px; margin: 0px; font-family: Verdana; font-size: 13px; color: rgb(192, 0, 0);">
<b>li: </b><a href="https://www.linkedin.com/in/tim-pearce-808aaa83/" id="OWAc90fd649-fad6-a856-7d60-dca1972551c5" class="OWAAutoLink" data-auth="NotApplicable" style="margin: 0px;">https://www.linkedin.com/in/tim-pearce-808aaa83/</a></div>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px; color: rgb(192, 0, 0);"><b><br>
</b></span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px; color: rgb(192, 0, 0); background-color: white;"><b>shared calendar:
<a href="https://outlook.office365.com/owa/calendar/97def62d5929470cad007b8b5ba0b354@leicester.ac.uk/49a25705a2c448018ebdf65992a4126c6579692957646256408/calendar.html" id="OWAbd65f82f-8c7b-baf3-f9d5-f2564429309a" class="OWAAutoLink" title="https://outlook.office365.com/owa/calendar/97def62d5929470cad007b8b5ba0b354@leicester.ac.uk/49a25705a2c448018ebdf65992a4126c6579692957646256408/calendar.html" data-auth="NotApplicable" style="margin-top: 0px; margin-bottom: 0px;">
here</a></b></span></p>
<p style="margin: 0px; font-family: Calibri, sans-serif; font-size: 11pt;"><span style="font-family: Verdana; font-size: 13px;"><br>
</span></p>
<div style="margin: 0px; font-family: Verdana; font-size: 13px;"><img size="7841" contenttype="image/png" data-outlook-trace="F:2|T:2" src="cid:dc861d4f-f7f3-4dd8-87a1-00ecff8fb3d9"></div>
<span style="font-family: Verdana; font-size: 13px;"><br>
</span></div>
</body>
</html>