Dear all,
The School of Psychology at the University of Plymouth has three fully funded full time PhD studentships (3 years) and two part-time studentships (5 years with teaching duties). Full details of all projects are available here:
https://www.plymouth.ac.uk/schools/psychology/phd-studentships
For the interest of this list there are two potential projects on offer involving the development of face processing in childhood and face processing in social anxiety. Details of these projects are available via the link above but note that the description is quite embryonic to allow for candidates to discuss their own direction with the supervisors.
If you know of any MSc students that are looking to do a PhD in face processing please do forward on these details to them, or ask them to contact me directly (chris.longmore(a)plymouth.ac.uk<mailto:chris.longmore@plymouth.ac.uk>).
Queries about funding for non-UK applicants for the full time positions should be sent to Prof. Chris Mitchell (christopher.mitchell(a)plymouth.ac.uk<mailto:christopher.mitchell@plymouth.ac.uk>), PG tutor or Dr Jeremy Goslin (jeremy.goslin(a)plymouth.ac.uk<mailto:jeremy.goslin@plymouth.ac.uk>) for the part time positions.
Thanks,
Chris
--
Dr Chris Longmore
Admissions Tutor
School of Psychology
Faculty of Health and Human Sciences
Plymouth University
Drake Circus
Plymouth
PL4 8AA
Tel: +44 (0)1752 584890<tel:+44%201752%20584890>
Fax: +44 (0)1752 584808<tel:+44%201752%20584808>
Email : chris.longmore(a)plymouth.ac.uk<mailto:chris.longmore@plymouth.ac.uk>
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Hello all
The Department of Psychology at Bournemouth University are currently advertising permanent Lectureships/Senior Lectureships in face-processing. Please see the advert below:
http://www.jobs.ac.uk/job/AXR916/senior-lecturer-lecturer-academic-in-psych…
Many thanks
Sarah
BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages. This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.
Dear colleagues
We are excited to announce a 4-year fully ESRC funded MSc+PhD position on the project Building a Culturally Flexible Generative Model of Face Signalling for Social Robots at the Institute of Neuroscience & Psychology, University of Glasgow, UK in collaboration with Dimensional Imaging (DI4D), Glasgow, UK.
We are looking for someone with multidisciplinary experience and so casting a very wide net. See the findaphd.com<http://findaphd.com> advert here: https://tinyurl.com/maw9fad
I have also attached the advert in PDF and JPEG format. I would be very grateful if you could share this advert in your departments and to any other persons or groups you think might be interested or have good connections.
See also my posts on FB and Twitter (@rachaelejack). I would be very grateful if you could RT and share.
Many thanks!
Rachael E. Jack, Ph.D., RSE YAS
Lecturer
Institute of Neuroscience & Psychology
School of Psychology
http://www.gla.ac.uk/schools/psychology/staff/rachaeljack/
Member of the RSE Young Academy of Scotland
[cid:96cd7982-33ee-493b-a07e-0e141adbe5ca@campus.gla.ac.uk]
[cid:0a42bc60-de08-4e38-bbc6-bd901604d3ca@campus.gla.ac.uk]
The FOX research group (http://cristal.univ-lille1.fr/FOX <http://cristal.univ-lille1.fr/FOX>) of CRSItAL laboratory (http://www.cristal.univ-lille.fr <http://www.cristal.univ-lille.fr/>) (UMR CNRS 9189), France, is looking for a promising candidate to work on the field of Human Behavior Analysis from video under unconstrained settings.
The recognition and prediction of people behaviour from videos are major concerns in the field of computer vision. A specific class of behavior analysis concerning facial expression recognition attracts lot of attention from researchers and industry in various fields.
State of the art solutions work fine in controlled environments were expressions are exaggerated and the head of the subject stay still, but as soon as the subject moves freely and expressions are natural, the performances of existing systems drop in an important manner. This observation is confirmed by performance evaluation conducted on new datasets (such as RECOLA, GEMEP) where the acquisitions conditions are similar to natural interaction settings.
We look for a PHD candidate in order to study and propose algorithms that analyze human behavior from video in unconstrained environments.
http://sujets-these.lille.inria.fr/details.html?id=a1382de1c76647509ef9e25c… <http://sujets-these.lille.inria.fr/details.html?id=a1382de1c76647509ef9e25c…>
== Required expertise
Strong preference will be given to candidates with experience in Computer Vision and Pattern Recognition and a good knowledge of written and oral English. Background in motion analysis field would be appreciated.
Applicants are expected to have a strong background in Computer Science. Strong programming skills (C or C++) are a plus. French language skills are not required, English is mandatory.
The thesis shall start October 1st in Lille.
Applications must be sent by email to Prof. Ch. Djeraba (chabane.djeraba(a)univ-lille1.fr <mailto:chabane.djeraba@univ-lille1.fr>) and IM Bilasco (marius.bilasco(a)univ-lille1.fr <mailto:marius.bilasco@univ-lille1.fr> <mailto:marius.bilasco@univ-lille1.fr <mailto:marius.bilasco@univ-lille1.fr>>), Subject: [Phd Position].
They must contain a statement of interest, a CV, a list of publications, if any, and the names of two references.
Please contact the Prof. Ch. Djeraba <chabane.djeraba(a)univ-lille1.fr <mailto:chabane.djeraba@univ-lille1.fr>> and IM Bilasco (marius.bilasco(a)univ-lille1.fr <mailto:marius.bilasco@univ-lille1.fr> <mailto:marius.bilasco@univ-lille1.fr <mailto:marius.bilasco@univ-lille1.fr>>) for more informations.
—
Ioan Marius BILASCO
MCF Univ Lille 1
Centre de Recherche en Image, Signal et Automatique (CRIStAL)
Équipe FOX - Groupe IMAGE
Bureau 336, Bât M3 Ext
Cité Scientifique
59650 Villeneuve d'Ascq Cedex - France
mailto:2emePrenom.Nom@univ-lille1.fr <mailto:2emePrenom.Nom@lifl.fr>
http://www.cristal.univ-lille.fr/~bilasco <http://www.lifl.fr/~bilasco>
phone: (+33) (0)3 3 20 43 41 88 / 3 62 53 15 84
fax: (+33) (0)3 28 77 85 37
Trust in CNRS's certificates: http://igc.services.cnrs.fr/Doc/General/trust.html <http://igc.services.cnrs.fr/Doc/General/trust.html>
Apologies for cross-postings
Call for challenge participation
Fifth Emotion Recognition in the Wild (EmotiW) Challenge 2017
https://sites.google.com/site/emotiwchallenge
@ ACM International Conference on Multimodal Interaction 2017, Glasgow
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The Fifth Emotion Recognition in the Wild 2017 Challenge consists of
multimodal classification challenges, which mimics real-world conditions.
Traditionally, emotion recognition has been performed on laboratory
controlled data. While undoubtedly worthwhile at the time, such lab
controlled data poorly represents the environment and conditions faced in
real-world situations. With the increase in the number of video clips
online, it is worthwhile to explore the performance of emotion recognition
methods that work ‘in the wild’. There are two sub-challenges: audio-video
based emotion recognition in videos and group-level emotion recognition in
the images (new).
Timeline:
Challenge Website Up: early March 2017
Train and validate data available: April 2017
Test data available: 8 July 2017
Last date for uploading the results: 23 July 2017
Paper submission deadline: 10 August 2017
Notification: 1 September 2017
Camera-ready papers: 21 September 2017
Organisers
Abhinav Dhall, Roland Goecke, Jyoti Joshi, Jesse Hoey and Tom Gedeon
Contact
emotiw2014(a)gmail.com
--
Abhinav Dhall, PhD (ANU)
Assistant Professor,
Indian Institute of Technology Ropar