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<div>Dear colleagues,</div>
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<p>(Apologies for cross-posting)</p>
<p>We have two PhD scholarships available to join the labs of Pablo Arias-Sarah and Hui Yu at the School of Psychology and Neuroscience at Glasgow University this fall. Students will work on two EPSRC-funded projects in collaboration with the School of Computing
Science. Could you please forward these announcement to potential candidates? </p>
<p>We are looking for two motivated<span style="font-size: inherit;"> multidisciplinary students interested in computer vision (e.g., face transformation and analysis) as well as social cognition (e.g., social interactions, social signal processing</span><span style="font-size: inherit;">).</span> Below
is a description of the two projects. <b>Deadline to apply is June 17!</b></p>
<p><b>Project 1: </b><span style="font-size: inherit;"><b>The unconscious effect of physical beauty in human social interactions.</b> </span>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</span><span style="font-size: inherit;">, w</span><span style="font-size: inherit;">e aim to create an algorithm able to transform the "physical beauty" of participants in real time with computer vision
algorithms, and use these transformations during negotiations to see how they influence social outcomes and non-verbal behavior. </span> </p>
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<div>Interests : Computer vision (voice/face transformation filters), social signal processing, social interaction, social cognition (e.g., social biases).</div>
<div>Project description : <a href="https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pabloarias/">https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pabloarias/</a></div>
<div>Contact : <a href="mailto:pablo.arias@glasgow.ac.uk">pablo.arias@glasgow.ac.uk</a></div>
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<b>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.</div>
<div>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>Interests : Computer vision (e.g., face tracking and analysis), computational modeling, social signal processing, social cognition </div>
<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>
<div>Contact : Hui Yu <<a href="mailto:Hui.Yu@glasgow.ac.uk">Hui.Yu@glasgow.ac.uk</a> > </div>
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<div>Thank you very much for your time reading our advert.</div>
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<div>All the best,<br>
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<div><b>Pablo Arias Sarah</b>,<span class="Apple-converted-space"> </span>Ph.D.<br>
Postdoctoral Researcher (University of Glasgow, Lund University Cognitive Science)<br>
<a href="https://pablo-arias.github.io/">Website</a>, <a href="https://scholar.google.fr/citations?user=6jMFwJQAAAAJ&hl=en&oi=ao">Google Scholar</a>, <a href="https://twitter.com/pablo_arias_sar">Twitter</a><br>
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