[visionlist] Fully funded PhD position on "Context recognition for the application of visual privacy" - visuAAL Marie Skłodowska-Curie Innovative Training Network on Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living

[Francisco Florez-Revuelta]

Fully funded PhD position - ESR 14: Context recognition for the application of visual privacy - visuAAL Marie Skłodowska-Curie Innovative Training Network on Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living 

Universidad de Alicante, Spain

Deadline: 20 November 2020

https://www.visuaal-itn.eu/esr-vacancies#rp14

Call for applications: https://www.visuaal-itn.eu/sites/default/files/2020-10/Call%20for%20applications%20ESR14.pdf

visuAAL is a four-year (2020-2024) Marie Skłodowska-Curie Actions Innovative Training Network, funded by the European Commission, that aims at bridging the knowledge gap between users’ requirements and the appropriate and secure use of video-based AAL technologies to deliver effective and supportive care to older adults managing their health and wellbeing.

visuAAL will seek to increase awareness and understanding of the context-specific ethical, legal, privacy and societal issues necessary to implement visual system across hospital, home and community settings, in a manner that protects and reassures users; outputs will stimulate the development of a new research perspective for constructively addressing privacy-aware video-based working solutions for assisted living.

visuAAL will provide a transdisciplinary and cross-sectoral combination of training, non-academic placements, courses and workshops on scientific and complementary skills to 15 high achieving Early Stage Researchers (ESRs). These newly hired ESRs will contribute through their individual research projects to fulfil visuAAL's aims.

Project description

Most works conceal people’s visual privacy by using blurring or pixelating effects to modify an image. In a privacy-by-context approach, a level-based visualisation scheme to protect privacy is proposed. Each level establishes the way in which the video images are modified and displayed and, therefore, the provided protection degree. In this scheme, the appropriate level is dynamically selected according to the context, therefore modifying a non-protected image before it is displayed. The context has to provide enough information in order to empower people to adapt privacy to their preferences, in such a way that they can decide by whom, how and when they can be watched. The context is modelled by different variables: (i) the observer; (ii) the identity of the person (to retrieve the privacy profile); (iii) the closeness between the person and observer (e.g., relative, doctor or acquaintance); (iv) appearance (dressed?); (v) location (e.g., kitchen); and (vi) ongoing activity or detected event (e.g., cooking, watching TV, fall). Therefore, an accurate recognition of the context is paramount to provide the appropriate privacy level. This project will investigate techniques to recognise accurately these variables and it will validate them under different use case scenarios. 

Requirements

*	Applicants should hold a relevant Master’s degree (or equivalent) in Computer Science, Electronic and Electrical Engineering, or a related area
*	Applicants should not have been awarded a PhD degree
*	At the time of recruitment, applicants should have less than four (full time equivalent) years of experience within a research career (measured from the date when the applicant obtained the first degree entitling him/her to embark on a doctorate, even if a doctorate was never started or envisaged)
*	Applicants must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting institution for more than 12 months in the 3 years immediately before the recruitment date
*	Proficiency in written and spoken English
*	Be highly motivated;
*	Creativity and high level of independency;
*	It is the policy of the visuAAL project to promote equal opportunities between men and women and stimulate gender balance.
*	Additional requirements: None

The full-time gross yearly salary amounts to € 35,264.39 (plus bonus according to family charges).

More information at the  <https://www.visuaal-itn.eu/> visuAAL website.

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Francisco (Paco) Flórez-Revuelta

 <http://www.dtic.ua.es/~florez/> http://www.dtic.ua.es/~florez/

 <mailto:francisco.florez at ua.es> francisco.florez at ua.es 

Associate Professor

Department of Computing Technology, Research Group on Domotics and Ambient Intelligence

University of Alicante

Carretera San Vicente s/n, 03690 San Vicente del Raspeig, Alicante (Spain)

Coordinator of  <https://paal-project.eu/> PAAL MYBL project and  <https://cordis.europa.eu/project/id/861091> visuAAL Marie Skłodowska-Curie ITN. Chair of the  <https://www.cost.eu/actions/CA19121> GoodBrother COST Action

 <https://www.facebook.com/francisco.florez> Facebook –  <https://www.linkedin.com/in/franciscoflorezrevuelta> LinkedIn –  <https://twitter.com/fflorezrevuelta> Twitter –  <http://www.slideshare.net/franciscoflorez> Slideshare –  <http://scholar.google.es/citations?sortby=pubdate&hl=es&user=ApaQimYAAAAJ&view_op=list_works> Google Scholar

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