Face-research-list

face-research-list@lists.stir.ac.uk

608 discussions

by Peter Hancock

From: Ailsa E Millen Sent: 06 July 2021 16:07 To: face-research-list(a)lists.stir.ac.uk<mailto:face-research-list@lists.stir.ac.uk>. Subject: Postdoctoral Research Fellow Vacancy Dr Ailsa Millen is offering a full-time, fixed-term Postdoctoral Research Fellow position to work on the ESRC project 'Identifying Novel Markers of Concealed Face Recognition' https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=2584&jobT… starting August 2021 (or as soon as possible thereafter). Ailsa is seeking an excellent postdoctoral research fellow to conduct experiments combining eye-tracking, skin conductance, facial expressions and vocal cues. Excellent programming and analysis skills are essential. A crucial aspect of this role is to streamline the completion of the existing ESRC grant by taking over programming, data analysis, and manuscript writing so these skills are essential prior to starting. The project aims to further our understanding of how our brains recognise faces and find ways to help the police detect crime (www.conface.org<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.confac…>). The post is initially for 10 months but we will request an extension three months prior to the June 2022 end date. Enquiries to ailsa.millen(a)stir.ac.uk Dr Ailsa E. Millen (she/her) Lecturer in Psychology University of Stirling Phone: + 44 (0) 1786 466372 Twitter @ailsamillen Staff page: https://www.stir.ac.uk/people/255892 Project page: www.conface.org<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.confac…> @confacedotorg Leader of The Cognition Research Group @corgis_uos I aim to reply within 3 working days. My messages may arrive outside of the working day, but this does not imply any expectation that you should reply outside of your normal working hours. If you wish to respond, please do so when convenient. Latest papers Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920958687<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…> Many Labs 5: Registered Replication Report of Crosby, Monin & Richardson (2008) (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245919870737<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…> Eye spy a liar: Assessing the utility of eye fixations and confidence judgments for detecting concealed recognition of people, places and objects (2020). Cognitive Research: Principles and Implications. https://rdcu.be/b6g6X<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Frdcu.be%2…> Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003) (2020). Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920903079<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…> Eye see through you! Eye tracking unmasks concealed face recognition despite countermeasures (2019). Cognitive Research: Principles and Implications. https://rdcu.be/bNlKn<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Frdcu.be%2…> Latest papers: ________________________________ The University achieved an overall 5 stars in the QS World University Rankings 2020 UK Sports University of the Year 2020 (Times Higher Good University Guide) The University of Stirling is a charity registered in Scotland, number SC 011159.

3 years, 5 months

Special session on Applications in Healthcare and Health Monitoring in conjunction with IEEE FG 2021, 15th-18th December 2021 at Jodhpur, India (Hybrid Event).

by ABHIJIT DAS

Dear colleagues, We are organizing a special session on “Applications in Healthcare and Health Monitoring” in conjunction with the 16th IEEE Conference on Automatic Face and Gesture Recognition to be held between 15th-18th December 2021 in Jodhpur, India (Hybrid Event). Kindly find the related call for papers below. *Important dates* Papers submission deadline: 1 August 2021 Decisions: 25 September 2021 Final camera-ready papers: 20 October 2021 *Submission instructions* can be found at *http://iab-rubric.org/fg2021/submission.html <http://iab-rubric.org/fg2021/submission.html>*. *For submission* log into *https://cmt3.research.microsoft.com/fg2021/* <https://cmt3.research.microsoft.com/fg2021/>, proceed to “create new submission”. Select “special session track and subject area” as “Applications in Healthcare and Health Monitoring”. Accepted papers will be included in FG2021 proceedings and will appear in the IEEE Xplore digital library, Please feel free to contact us for any further details. Kindly disseminate this email to others who might be interested. We look forward to your contributions. Abhijit Das (Thapar University, India) Babak Taati (University of Toronto, Canada) Antitza Dantcheva (INRIA, France) Diedo Guarin (Florida Institute of Technology, USA) Srijan Das (Stony Brook University, USA) Andrea Bandini (University of Toronto, Canada) Hu Han (CAS, China) Yana Yunusovva (University of Toronto, Canada) François Brémond (INRIA, France) Xilin Chen (CAS, China) -------------------------------------------------------------------------------------------- *Call for paper for FG 2021 special session * *on * *Applications in Healthcare and Health Monitoring* ----------------------------------------------------------------------------------- Automated Human Health Monitoring Based on Computer Vision has gained rapid Automated Human Health Monitoring Based on Computer Vision has gained rapid scientific attention in the last decade, fueled by many research articles and commercial systems. Recently, the COVID-19 pandemic has pushed the need for virtual diagnosis and monitoring health protocols such as regulating social distancing, surveillance of individuals wearing masks in-crowd, gauging body temperature and other physiological measurements from distance. Consequently, researchers from computer vision, as well as from the medical science community have given significant attention to goals ranging from patient analysis and monitoring to diagnostics (e.g., for dementia, depression, healthcare, physiological measurement, rare neurologic diseases). Moreover, healthcare represents an area of broad economic, social, and scientific impact. The goal of this special session is to bring together researchers and practitioners working in this area of computer vision and medical science and to address a wide range of theoretical and practical issues related to real-life healthcare systems. We especially invite papers resulting from collaboration between technical and clinical experts. Hence, this FG Special Session represents a venue for fostering these collaborations, providing a unique and welcoming environment for transdisciplinary research that is sometimes labelled as being “too clinical” by technical journals or “too technical” by clinical journals. Topics of interest include, but are not limited to:  Health monitoring based on face analysis,  Health monitoring based on gesture analysis,  Health monitoring based corporeal-based visual features,  Depression analysis based on visual features,  Face analytics for human behaviour understanding,  Anxiety diagnosis based on face and gesture,  Physiological measurement employing face analytics,  Databases on health monitoring, e.g., depression analysis,  Augmentative and alternative communication,  Human-robot interaction,  Home healthcare,  Technology for cognition,  Automatic emotional hearing and understanding,  Visual attention and visual saliency,  Assistive living,  Privacy-preserving systems,  Quality of life technologies,  Mobile and wearable systems,  Applications for the visually impaired,  Sign language recognition and applications for hearing impaired,  Applications for the ageing society,  Personalized monitoring,  Egocentric and first-person vision,  Assessing physical and/or cognitive ability based on face and body movement analysis,  Orofacial assessment in clinical populations,  Hand function assessment in clinical populations,  Assessment of gait and/or balance,  Assistive technology,  Applications to improve health and wellbeing of children and elderly.

3 years, 5 months

International Association of Craniofacial Identification symposium July 2021

by Peter Hancock

INVITATION to the International Association of Craniofacial Identification (IACI) One-day Symposium - 23 July 2021 The IACI conference in Liverpool has been postponed to July 2022 due to the continued pandemic. However, we will be hosting a one-day online symposium as an IACI free taster event on 23 July 2021, 10am - 15:30pm BST. The theme of the event will be: 'Race and Face: bias in forensic and archaeological investigation' Keynote speakers will be: * Race and Forensic Investigation - Prof Amade M'Charek, University of Amsterdam * Race and Facial Recognition Algorithms - Dr Jonathon Phillips, National Institute of Standards and Technology's Information Technology Laboratory * Race and Super-recognisers - Dr Josh Davis, University of Greenwich * Race and Forensic Genetics - Dr David Skinner, Anglia Ruskin University * Historical ethnographic craniofacial collections - Dr Tobias Houlton, University of Dundee There will be an online poster event and the opportunity for some short presentations on any of the following topics: Facial identification of the dead * Facial reconstruction/approximation * Craniofacial anatomy * Craniofacial superimposition * Depiction of preserved remains for museum exhibition * Ethical issues relating to the presentation of faces of the dead * DNA analysis for facial depiction of skeletal remains * Migrant disaster victim identification * CGI and animation Facial identification of the living * Age progression * Eyewitness composites * DNA-to-face * Facial recognition * CCTV analysis * Facial morphing and deep fakes If you would like to present a short paper or poster at this symposium, please submit an abstract with your name and affiliation to facelab(a)ljmu.ac.uk<mailto:facelab@ljmu.ac.uk> by 1 July 2021. Details of how to access the symposium will be sent out at a later date. Please forward this to any interested parties. Dr Sarah Shrimpton BA (Hons), MSc, AFHEA, PhD Research Assistant, Face Lab IC1 Liverpool Science Park, 131 Mount Pleasant, Liverpool, L3 5TF tel: 0151 482 9609 (Direct) or 0151 482 9605 (Lab) email:s.l.shrimpton@ljmu.ac.uk<mailto:s.l.shrimpton@ljmu.ac.uk> ________________________________ Important Notice: Liverpool John Moores University was established as a Higher Education Corporation under section 121 of the Education Reform Act 1988. Further information about Liverpool John Moores University can be found at https://www.ljmu.ac.uk/about-us The information in this email and any attachments is for the sole use of the intended recipient(s). If you are not an intended recipient, or a person responsible for delivering it to an intended recipient, you should delete it from your system immediately without disclosing its contents elsewhere and advise the sender by returning the email or by telephoning a number contained in the body of the email. No responsibility is accepted for loss or damage arising from viruses or changes made to this message after it was sent and the recipient must ensure that the email (and attachments) are virus free. The views contained in this email are those of the author and not necessarily those of Liverpool John Moores University. We will use the personal data information provided by you to respond to your email. For information about how we process personal data and monitor communications please see our Privacy Notice. https://www.ljmu.ac.uk/legal/privacy-and-cookies ________________________________ The University achieved an overall 5 stars in the QS World University Rankings 2020 UK Sports University of the Year 2020 (Times Higher Good University Guide) The University of Stirling is a charity registered in Scotland, number SC 011159.

3 years, 5 months

Glasgow Face Matching Test 2 (GFMT2)

by David White

GLASGOW FACE MATCHING TEST 2 (GFMT2) A new psychometric test of face matching ability has been developed by UNSW Sydney and University of York and is freely available for scientific use. White, D., Guilbert, D., Varela, V.P.L. Renkins, R., & Burton, A. M. (2021). GFMT2: A psychometric measure of face matching ability. Behavior Research Methods. https://doi.org/10.3758/s13428-021-01638-x GFMT2 is a new expanded version of the original Glasgow Face Matching Test. Test forms include: GFMT2-S: A short 80 item test with test-retest reliability over a week r = 0.774. There are two equally difficult 40-item forms for use in experimental intervention studies. GFMT-Low: Specifically designed to target lower than average performers, suited for assessing acquired or developmental prosopagnosia. GFMT2-High: Specifically designed to target higher than average performers, suited for assessing super-recognisers and certain professional groups. Short tests do not contain repeating identities, nor items from the original GFMT. Image pairs now include variation in head angle, pose, expression and subject-to-camera distance, making the new test more difficult and more representative of challenges in everyday face identification tasks. The publication is available here: https://rdcu.be/cm1YR Executable versions of the test are available for PC and MAC via: www.gfmt2.org

3 years, 6 months

Postdoctoral position at NYU Abu Dhabi (High-level vision)

by Olivia Cheung

A postdoctoral researcher position is available immediately at the Objects and Knowledge Laboratory, headed by Dr. Olivia Cheung, at NYU Abu Dhabi ( http://www.oliviacheunglab.org/). The postdoctoral researcher will carry out experiments on high-level vision (object/face/letter/scene recognition) in humans using behavioral, fMRI, and computational methods. Potential research projects include, but are not limited to, investigations of the influences of experience and conceptual knowledge on visual recognition. Applicants must have a Ph.D. in Psychology, Cognitive Neuroscience, Cognitive Science, or a related field, and should possess strong programming skills (e.g., R, Matlab, Python). Prior experience with neuroimaging, computational, or psychophysical techniques is highly preferred. Initial appointment is for two years, with the possibility of renewal. Starting date is flexible, preferably by summer/early fall 2021. The Objects and Knowledge Laboratory is part of the rapidly growing Psychology department at NYU Abu Dhabi. The lab has access to the state-of-the-art neuroimaging and behavioral facilities (including MRI, MEG, eyetracking). The terms of employment are very competitive, including relocation and housing costs, and other benefits among which educational subsidies for children. Informal inquiries regarding the position, university, or area, are encouraged. To apply, individuals should email a curriculum vita, cover letter, statement of research interests, the expected date of availability, and contact information of two referees. All correspondence should be sent to Olivia Cheung (olivia.cheung(a)nyu.edu). The NYU Abu Dhabi campus is located on Saadiyat Island (Abu Dhabi’s cultural hub), minutes away from the white sand beaches as well as the world class entertainment, big city and nature activities that have made the area one of the top ten tourist destinations in the world. More information about living in Abu Dhabi can be found here: https://nyuad.nyu.edu/en/campus-life/living-in-abu-dhabi.html *About NYUAD:* NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYU Abu Dhabi serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

3 years, 6 months

Fully funded 3-year PhD studentship on Cross-Race Recognition

by Mansour, Jamal

Hello colleagues, I am recruiting a student for a fully funded, 3-year PhD studentship at Queen Margaret University, in collaboration with Edinburgh Napier University. The studentship will be supervised by me (Dr Jamal Mansour) at Queen Margaret University as well as Dr Alex McIntyre and Dr Faye Skelton of Edinburgh Napier University. The project is entitled "Reducing cross-race identification errors via the creation of a cross-race recognition training tool and a diagnostic test of cross-race recognition ability". For more information about the project, please see here: https://www.qmu.ac.uk/ad/napier-collaborative-phds. Potential applicants are encouraged to contact me via email (jmansour(a)qmu.ac.uk) to discuss the project. Applications are due by Wednesday, June 16, 2021 and should be submitted to the Queen Margaret University Graduate School. Details of how to apply can be found here: https://www.qmu.ac.uk/study-here/how-to-apply/phd-and-professional-doctorat…. Could I ask you to please do circulate this opportunity via your relevant networks and share it with any potential candidates? Very best wishes, Jamal. --------------------------------------------------------------------------------- Jamal K. Mansour, PhD Senior Lecturer in Psychology Psychology, Sociology, & Education Queen Margaret University Edinburgh, UK EH21 6UU Email: jmansour(a)qmu.ac.uk Phone: +44 (0) 131 474 0000 and say my name (Jam-el Man-sir) when prompted Fax: +44 (0) 131 474 0001 Web: https://www.qmu.ac.uk/schools-and-divisions/psychology-and-sociology/psycho… Memory Research Group Web site: https://memoryresearchgroup.wordpress.com/ Twitter: @EyewitnessIDUp Check out my new article on eyewitness identification confidence: https://www.sciencedirect.com/science/article/abs/pii/S2211368120300048 This message and its attachment(s) are intended for the addressee(s) only and should not be read, copied, disclosed, forwarded or relied upon by any person other than the intended addressee(s) without the permission of the sender. If you are not the intended addressee, you must not take any action based on this message and its attachment(s) nor must you copy or show them to anyone. If you have received this email in error, please inform the sender immediately and delete all copies of it. It is your responsibility to ensure that this message and its attachment(s) are scanned for viruses or other defects. Queen Margaret University does not accept liability for any loss or damage which may result from this message or its attachment(s), or for errors or omissions arising after it was sent. Email is not a secure medium. Email traffic entering Queen Margaret University's system is subject to routine monitoring and filtering by Queen Margaret University. Queen Margaret University, Edinburgh is a registered charity: Scottish Charity Number SC002750.

3 years, 7 months

Re: [Face-research-list] (CfP) ICCV 2021 Workshop and Competition: ABAW2

by Dimitrios Kollias

Dear All, Please find below the invitation to contribute to the 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the International Conference on Computer Vision (ICCV) 2021. (1): The Competition is split into three Challenges-Tracks, which are based on the same database, Aff-Wild2, which is the first comprehensive benchmark for the three affect recognition tasks in-the-wild: * dimensional affect recognition (valence and arousal estimation) * categorical affect classification (seven basic expression classification) * facial action unit detection Aff-Wild2 is an audiovisual in-the-wild database of 564 videos of around 2.8M frames. Participants are invited to participate in one or more of these Challenges. There will be one winner per Challenge-Track; the winners are expected to contribute a paper describing their approach, methodology and results; the accepted winning papers will be part of the ICCV 2021 proceedings; all other teams are also able to submit a paper describing their solutions and final results; the accepted papers will be part of the ICCV 2021 proceedings. For more information about the challenge, see here<https://ibug.doc.ic.ac.uk/resources/iccv-2021-2nd-abaw/>. Important Dates: * Call for participation announced, team registration begins, data available: 12 May, 2021 * Final submission deadline: 10 July, 2021 * Winners Announcement: 11 July, 2021 * Final paper submission deadline: 21 July, 2021 * Review decisions sent to authors; Notification of acceptance: 10 August, 2021 * Camera ready version deadline: 17 August, 2021 Chairs: Dimitrios Kollias, University of Greenwich, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Middlesex University London, UK Elnar Hajiyev, Realeyes - Emotional Intelligence (2): The Workshop solicits contributions on the recent progress of recognition, analysis, generation and modelling of face, body, and gesture, while embracing the most advanced systems available for face and gesture analysis, particularly, in-the-wild (i.e., in unconstrained environments) and across modalities like face to voice. Original high-quality contributions, including: - databases or - surveys and comparative studies or - Artificial Intelligence / Machine Learning / Deep Learning / AutoML / (Data-driven or physics-based) Generative Modelling Methodologies (either Uni-Modal or Multi-Modal ones) are solicited on the following topics: i) "in-the-wild" facial expression or micro-expression analysis, ii) "in-the-wild" facial action unit detection, iii) "in-the-wild" valence-arousal estimation, iv) "in-the-wild" physiological-based (e.g., EEG, EDA) affect analysis, v) domain adaptation for affect recognition in the previous 4 cases vi) "in-the-wild" face recognition, detection or tracking, vii) "in-the-wild" body recognition, detection or tracking, viii) "in-the-wild" gesture recognition or detection, ix) "in-the-wild" pose estimation or tracking, x) "in-the-wild" activity recognition or tracking, xi) "in-the-wild" lip reading and voice understanding, xii) "in-the-wild" face and body characterization (e.g., behavioral understanding), xiii) "in-the-wild" characteristic analysis (e.g., gait, age, gender, ethnicity recognition), xiv) "in-the-wild" group understanding via social cues (e.g., kinship, non-blood relationships, personality) Accepted papers will appear at ICCV 2021 proceedings. Important Dates: Paper Submission Deadline: 21 July, 2021 Review decisions sent to authors; Notification of acceptance: 10 August, 2021 Camera ready version 17 August, 2021 Accepted workshop papers will appear at ICCV 2021 proceedings. Chairs: Dimitrios Kollias, University of Greenwich, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Middlesex University London, UK Elnar Hajiyev, Realeyes - Emotional Intelligence In case of any queries, please contact D.Kollias(a)greenwich.ac.uk Kind Regards, Dimitrios Kollias, on behalf of the organising committee =================================================== Dr Dimitrios Kollias Senior Lecturer in Computer Science (Artificial Intelligence) School of Computing and Mathematical Sciences University of Greenwich ==================================================== University of Greenwich, a charity and company limited by guarantee, registered in England (reg no. 986729). Registered Office: Old Royal Naval College, Park Row, Greenwich SE10 9LS.

3 years, 7 months

Postdoctoral position: ERC-funded, 3 year – Computing the Face Syntax of Social Communication

by Rachael Jack

Dear colleagues We are delighted to announce the opening of a 3-year ERC-funded postdoctoral position in the FaceSyntax lab (Director: Prof. Rachael Jack, University of Glasgow, Scotland). Application portal here: https://www.jobs.ac.uk/job/CFV656/research-assistant-associate; Deadline: 3 June 2021 Please share with your networks. Many thanks Prof. Rachael E. Jack, Ph.D. Professor of Computational Social Cognition Institute of Neuroscience & Psychology School of Psychology University of Glasgow Scotland, G12 8QB +44 (0) 141 330 5087

3 years, 7 months

Call for abstract for FG 2021 special session on Artificial Intelligence for Automated Human Health-care and Monitoring

by ABHIJIT DAS

Dear colleagues, We are inviting abstract submissions for a special session on “Artificial Intelligence for Automated Human Health-care and Monitoring”, as part of the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG’21, http://iab-rubric.org/fg2021/), December 15-18, 2021. Details on the special session follow below. Title, abstract, list of authors, as well as the name of the corresponding author should be emailed directly to Abhijit Das (abhijitdas2048(a)gmail.com). Please submit your abstracts before Sunday, May 8th 2021. The expected paper submission deadline will be on 1st August 2021. Feel free to contact Abhijit Das, if you have any further questions. Kindly circulate this email to others, who might be interested. We look forward to your contributions! Abhijit Das (Thapar University, India) Antitza Dantcheva (Inria, France) Srijan Das (Stony Brook University, USA) François Brémond (Inria, France) Xilin Chen (CAS, China) Hu Han (CAS, China) ------------------------------------------------------------------------------------- *Call for abstract for FG 2021 special session * *on* *Artificial Intelligence for Automated Human Health-care and Monitoring* ------------------------------------------------------------------------------------ Automated Human Health Monitoring Based on Computer Vision has gained rapid scientific attention in the decade, fueled by a large number of research articles and commercial systems based on a set of features, extracted from face and gesture. Recently, the COVID-19 pandemic has pushed the need for virtual diagnosis and monitoring health protocols (such as regulations for social distancing, surveillance of individuals wearing the mask in-crowd, gauging body temperature and other physiological measurements from distance). Consequently, researchers from computer vision, as well as from the medical science community have given significant attention to goals ranging from patient analysis and monitoring to diagnostics (e.g., for dementia, depression, general healthcare, physiological measurements, rare neurologic diseases). Moreover, healthcare represents an area of broad economic[1] <#_ftn1>, social, and scientific impact. We aim to document recent advancements in automated healthcare, as well as enable and discuss the progress. Therefore, the goal of this special session is to bring together researchers and practitioners working in this area of computer vision and medical science, and to address a wide range of theoretical and practical issues related to real-life healthcare systems. Topics of interest include, but are not limited to: · Health monitoring based on face analysis, · Health monitoring based on gesture analysis, · Health monitoring based corporeal-based visual features, · Depression analysis based on visual features, · Face analytics for human behaviour understanding, · Anxiety diagnosis based on face and gesture, · Physiological measurement employing face analytics, · Databases on health monitoring, e.g., depression analysis, · Augmentative and alternative communication, · Human-robot interaction, · Home healthcare, · Technology for cognition, · Automatic emotional hearing and understanding, · Visual attention and visual saliency, · Assistive living, · Privacy preserving systems, · Quality of life technologies, · Mobile and wearable systems, · Applications for the visually impaired, · Sign language recognition and applications for hearing impaired, · Applications for the ageing society, · Personalized monitoring, · Egocentric and first-person vision, · Applications to improve health and wellbeing of children and elderly. ------------------------------ [1] <#_ftnref1> https://www.prnewswire.com/news-releases/healthcare-automation-market-to-re…

3 years, 7 months

PhD in face perception

by Ferenc Kocsor

Dear All, I would appreciate it if you`d propagate the following opportunity. The Institute of Psychology at the University of Pecs, Hungary, is planning to start a PhD program for international students. During the program, among other possibilities, students can join a research that aims at extending our knowledge about the cognitive background of face perception. We`re particularly interested in how semantic knowledge about a person interacts with affective processes. The student will have access to the following equipment in our lab: - device for accurate reaction time measurement (cedrus) - eye-tracker (Toobi XT300) - physiological measurements (BIOPAC modules: EDA, hearth rate, respiration rate, EMG etc) - EEG Please note that there is a tuition fee (3500 euros per semester in the first and second year, and 2500 euros per semester in the third and fourth year). However, from the second year on, students from selected countries may apply for a scholarship by the Stipendium Hungaricum which covers both tuition fee and costs of living. The list of eligible countries can be found here: https://stipendiumhungaricum.hu/partners/ We are still waiting for the official approval of the PhD program from the university administration, hence application will be possible only from July. Until then, informal enquiries can be sent to kocsor.ferenc(a)pte.hu. Students with a background in psychology, biology, or other related fields, are welcome to apply. best regards *Ferenc Kocsor, PhD* Institute of Psychology Faculty of Humanites University of Pécs psychology.pte.hu <https://psychology.pte.hu/ferenc-kocsor-phd> evolutionpsychology.com <https://psychology.pte.hu/ferenc-kocsor-phd>

3 years, 8 months

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Face-research-list