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<div>Dear all</div>
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<p>We’re excited to announce 2 x EPSRC-funded PhD Scholarships on CS+Psych projects hosted in the School of Psychology and Neuroscience in collaboration with the School of Computing Science at the University of Glasgow. Please share widely <b><font color="#ff2600">Deadline:
17 June</font></b></p>
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<div><span class="ui-provider bjp bjq auy bjr bjs bjt bju bjv bjw bjx bjy bjz bka bkb bkc bkd bke bkf bkg bkh bki bkj bkk bkl bkm bkn bko bkp bkq bkr bks bkt bku bkv bkw" dir="ltr"><b>Project 1: </b></span><b>The unconscious effect of physical beauty in human
social interactions</b></div>
<div><span class="ui-provider bjp bjq auy bjr bjs bjt bju bjv bjw bjx bjy bjz bka bkb bkc bkd bke bkf bkg bkh bki bkj bkk bkl bkm bkn bko bkp bkq bkr bks bkt bku bkv bkw" dir="ltr">The <span style="font-size: inherit;">aim of the project is to investigate how
"physical beauty" can bias the outcomes of social decisions (e.g. job interviews). To do this, we aim to create an algorithm able to transform the "physical beauty" of participants in real time and use that algorithm during negotiations to see how it influences
social outcomes and non-verbal behavior. We are searching for a multidisciplinary candidate that is interested in real-time computer vision (e.g. voice/face transformation and analysis) as well as social cognition (e.g., social interactions, non-verbal data </span>analysis,
social biases<span style="font-size: inherit;">). </span></span></div>
<div><span class="ui-provider bjp bjq auy bjr bjs bjt bju bjv bjw bjx bjy bjz bka bkb bkc bkd bke bkf bkg bkh bki bkj bkk bkl bkm bkn bko bkp bkq bkr bks bkt bku bkv bkw" dir="ltr"><span style="font-size: inherit;"><br>
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<div><span class="ui-provider bjp bjq auy bjr bjs bjt bju bjv bjw bjx bjy bjz bka bkb bkc bkd bke bkf bkg bkh bki bkj bkk bkl bkm bkn bko bkp bkq bkr bks bkt bku bkv bkw" dir="ltr">Project description<span style="font-size: inherit;">:
</span><a aria-label="Link https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pabloarias/" title="https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pabloarias/" href="https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pabloarias/" rel="noreferrer noopener" target="_blank" class="fui-Link ___1rxvrpe f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn">https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pabloarias/</a>
<p>Project team members: Pablo Arias Sarah (primary supervisor), Alessandro Vinciarelli (co-supervisor), Mathieu Chollet (co-supervisor)</p>
<p>Questions? Contact: <a href="mailto:pablo.arias@glasgow.ac.uk">pablo.arias@glasgow.ac.uk</a></p>
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Project 2: HIGH-FIDELITY 3D FACIAL RECONSTRUCTION FOR SOCIAL SIGNAL UNDERSTANDING </b>
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<div>Human faces convey a wealth of rich social and emotional information—for example, facial expressions often convey our internal emotion states while the shape, colour, and texture of faces can betray our age, sex, and ethnicity. As a highly salient source
of social information, human faces are integral to shaping social communication and interactions. The faces in the video can be viewed as a temporal sequence of facial images with intrinsic dynamic changes. Establishing correlations between faces in different
frames is important for tracking and reconstructing faces from videos. Jointly modelling fine facial geometry and appearance in a data-driven manner enables the model to learn the relationship between a single 2D face image and the corresponding 3D face model
and thus reconstruct its high-quality 3D face model by leveraging the high capacity of deep neural networks. This project is to investigate computational methods for high-fidelity 3D facial tracking on videos for social signal analysis in social interaction
scenarios. It involves developing computational models for reconstruction of 3D facial details capturing geometric facial expression changes and analysing social signals.</div>
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<div>Project description: <a href="https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/huiyu/#d.en.982408">https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/huiyu/#d.en.982408</a> </div>
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<div>Project team members: Hui Yu (primary supervisor), Rachael Jack (co-supervisor), Tanaya Guha (co-supervisor)</div>
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<div>Question? Contact : <a href="mailto:Hui.Yu@glasgow.ac.uk">Hui.Yu@glasgow.ac.uk</a></div>
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Prof. Rachael E. Jack, Ph.D.<br>
Professor of Computational Social Cognition<br>
School of Psychology & Neuroscience</div>
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University of Glasgow<br>
Scotland, G12 8QB<br>
+44 (0) 141 330 5087</div>
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