Apple Inc has an immediate need for a Perceptual Image Processing Engineer at our headquarters in Cupertino, CA. If you are interested in the job description below please reach out to Jeff Schnable directly at email@example.com.
Perceptual Image Processing
“Visual Experience” team is looking for
an enthusiastic Perceptual Image Processing Engineer to lead the development of
cutting-edge color imaging solutions and technologies for future Apple products.
position is focusing on the development, prototyping, and seamless execution of
technologies to enable the best front-of-screen user experience of Apple
products including iPhone, iPad, Watch, Mac and more. The team features a
collaborative and hands-on environment that fosters engineering excellence,
creativity, and innovation in the interdisciplinary areas of image processing,
color science, vision science, optics, etc.
join us to make a dent in the universe.
advanced image processing algorithms to improve the user experience. Optimize
the key characteristics of the display for various vision conditions and for
various viewing conditions.
novel display application and feature by display module and sensor integration.
the feasibility of new display system through computer modeling and
provide teams feature and spec input for display image quality definition.
background in image processing.
of the human vision system.
of display stack-up and basic optical design.
hands-on experience of bringing new algorithm into product though prototyping,
and cross-functional efforts.
MATLAB or similar simulation and modeling tools.
analytical & critical thinking and problem-solving skills.
written and verbal communication skills.
of designing and conducting human perceptual related experiment is a big plus.
in SDK programming for hardware interface is a plus.
in developing app for iOS is a plus
M.S. or Ph.D. in Imaging, Color, Vision,
Computer, Optics Science, EE or equivalent with 3+ years of experience in
Call For Papers
VAAM2016 – Video Analytics for Audience Measurement
4th December 2016
in conjunction with the 23rd International Conference on Pattern Recognition (ICPR)
Paper submission deadline: 30 September 2016
Papers will be published on Springer LNCS as post-proceedings
Consumers today have more media and channel choices than ever before. Audience measurement is a key challenge for several media and retail owners to understand, in an anonymous way, the level of engagement of users and consumers. Future SmartTV, Retail and Digital Signage sectors are just few examples where video analytics may help developing the respective. Collecting anonymous information from users and consumers is important to measure the effectiveness of a campaign/television show and to take prompt actions to maximize the attention of people to the ad/show or to the product space. The need for measuring consumer experience(s) stimulates a multidisciplinary approach that brings together ethologist, psychologist, marketing and media planner professionals to design and test new metrics, and to study and understand social behaviours of social media.
Video analytics may help understanding the effectiveness of the branded message in a television show or out-of-home by observing and measuring public opinion and polling, geographical concentration of conversation of viewers. To this aim, pattern recognition technologies play an important role in audience measurement for their capability to understand several visual cues such as demographics, free gaze estimation, dwell time, emotion and group people proxemics, where low spatial resolution of acquired subjects, changing of the pose, occlusion, illumination changes, large variability of intra-class female age and ethnicity cohorts represent critical aspects for recognition.
The aim of this workshop is to offer an overview of recent development, state of the art methods and systems for audience measurements in retail and digital signage, to attract end-users, and to stimulate the creation of appropriate benchmark dataset to be used as a reference tool for the development of novel audience measurement algorithms.
Researchers and practitioners are invited to submit their contribution spanning on or more of the following topics:
– Privacy preservation in audience measurement
– Big Data analytics for audience measurement
– Behaviour analysis
– Emotion analysis
– Free eye gaze estimation
– People counting in multi-camera network
– People recurrence in long time window
– Group of related people: detection, tracking and behaviour analysis
– Dwell time estimation
– Gender recognition
– Ethnicity recognition
– Age and Age group estimation
– Path optimization and queue management in the point of sale
– Modelling consumer behaviour by RF and depth signals fusion
– Multimodal approaches and information fusion for audience measurement
– Social media and mobility engagement
– New annotated datasets
Accompanying Demos are also encouraged to be shown in the scheduled Demo session
Paper submission deadline: 30 September 2016
Paper acceptance notification: 15 October 2016
Sebastiano Battiato University of Catania IT
Andrea Cavallaro Queen Mary University of London UK
Cosimo Distante National Research Council – CNR IT
TECHNICAL PROGRAM COMMITTEE
Modesto Castrillón-Santana University of Las Palmas de Gran Canaria ES
Rama Chellappa University of Maryland USA
Rita Cucchiara University of Modena & Reggio Emilia IT
Giovanni M. Farinella University of Catania IT
Emanuele Frontoni Università Politecnica delle Marche IT
Kenneth Funes Idiap Research Institute CH
Luiz M. Garcia Gonçalves Universidade Federal do Rio Grande do Norte BR
Guodong Guo West Virginia University USA
Abdenour Hadid University of Oulu FI
Hu Han Michigan State University USA
Vladimir V. Khryashchev P.G. Demidov Yaroslavl State University RU
Marco Leo National Institute of Optics – CNR IT
Satu-Marja Mäkelä VTT Technical Research Centre of Finland FI
Pier Luigi Mazzeo CNR IT
Djamal Merad CNRS FR
Javier Lorenzo Navarro University of Las Palmas de Gran Canaria
Giovanni Puglisi University of Catania IT
Marco Quintana Universidad Politecnica de Madrid ES
Gabriella Sanniti di Baja CNR IT
Paolo Spagnolo CNR IT
Oscar Deniz Suarez Universidad de Castilla-La Mancha ES
Matteo Testori Dialogica IT
Dit-Yan Yeung Hong Kong University of Science and Technology PRC
For more information: http://ift.tt/2c4FzgE
Inviato da iPad
Assistant Professor/Associate Professor positions in oculomotor function, adaptive optics/ocular imaging, binocular vision, and visual system function – School of Optometry.
THE UNIVERSITY OF CALIFORNIA, BERKELEY, SCHOOL OF OPTOMETRY AND THE VISION SCIENCE GRADUATE GROUP invites applications for two tenure-track/tenured positions (Assistant or Associate Professor) from individuals interested in the fields of oculomotor function, adaptive optics, visual system function, and binocular vision who wish to join an expanding group of basic and clinical scientists.
Within those fields, the scope of this search is broad, including but not limited to adaptive optics/ocular imaging, understanding visual processing in the normal and abnormal visual system, psychophysical and oculomotor studies of vision, investigating disease mechanisms and diagnostic methods, and translating basic research discoveries into new therapies.
The successful applicant will be expected to develop an innovative and independent research program that attracts extramural funding and to participate in teaching in both the professional and graduate curricula in Optometry and Vision Science. The expected start date is July 1, 2017.
Candidates should have a PhD or OD/PhD (or equivalent degree) at least one year prior to the start date and at least one year of postdoctoral experience as well as a strong commitment to excellence in teaching and research.
The faculty of the School of Optometry (optometry.berkeley.edu) is committed to excellence in teaching, basic and clinical research, and patient care. The School hosts the Vision Science Graduate Group (vision.berkeley.edu), whose faculty spans departments across the Berkeley campus and includes vision research in areas of molecular and cell biology, biomedical optics, psychology, neuroscience, and computer science.
The School of Optometry has excellent clinical facilities and a large, diverse patient population, a Clinical Research Center, and a substantial number of basic research laboratories. An NEI P30 Core Center Grant provides basic research support for investigators within the School of Optometry and the Vision Science Graduate Program. Research training opportunities are available through our T32 (doctoral graduate students and postdoctoral researchers in vision science), T35 (summer research opportunities for optometry students), and K12 (mentored clinician scientists) training grants from NEI.
The School is interested in individuals who may have had non-traditional career paths or who may have taken time off for family reasons (e.g., children, disabled, or elderly), who have achieved excellence in careers outside of academe (e.g., in professional or industry service), and who will contribute to diversity and equal opportunity in higher education and healthcare through their teaching, research and service. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: http://ift.tt/2c4HdP8
Applications should include a CV, at least 3 selected publications (may submit up to 5), and a brief statement of research interests and future plans. Applicants can apply at the following link: http://ift.tt/2bWC3I8. The application deadline is December 1, 2016 – no applications submitted after that date will be considered. Candidates should arrange to have at least three letters of recommendation submitted. All letters must be uploaded by the final date to apply. All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career
center), to the UC Berkeley statement of confidentiality (http://ift.tt/1u2t7n8) prior to submitting their letters.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://ift.tt/1mzJDnS
Any questions should be directed to Maria Alegria at firstname.lastname@example.org.
Last minute reminder: we hope to see you in Reading, UK, September 3-4 for Neuroinformatics 2016 http://neuroinformatics2016..
The program includes neuroimaging, computational neuroscience, brain disorders, normal development, with posters, demos, social events, and keynote lectures by Jean-Baptiste Poline, Tristan Glatard, Markus Axer, Claudia Clopath, Nikolaus Kriegeskorte, Peter Dayan, Hanchuan Peng,
Jeffrey Krichmar, Helen Mayberg, Vinod Menon, Martijn van den Heuvel, Yanchao Bi, and David Menon: http://neuroinformatics2016.
Neuroinformatics 2016 is organized in collaboration with the UK Neuroinformatics Node http://ift.tt/2c4ENjP., and is intended for all experimental and theoretical neuroscience researchers who want to learn more about community-developed tools for neuroscience research, find new collaborators, and discuss their results with a cross-disciplinary scientific audience.
See you this weekend in Reading!
Save the date: Neuroinformatics 2017 in Kuala Lumpur, Malaysia, August 20-21 http://ift.tt/2bWCCBp
A postdoctoral fellowship or research associate position is available at the McGill Vision Research Unit, McGill University, in Montreal which is set within a large and integrated neuroscience program. Candidates should have a strong research
background in human vision research and should have established expertise in fMRI data acquisition and analyses, along with experience in retinotopic mapping. Previous experience in Matlab programming is essential. On a day-to-day basis, the candidate will
be expected to work independently and will be involved in the design, programming and running of human fMRI experiments and their analyses. The current areas of interest include binocular vision, visual plasticity, suppression and colour vision. There would
also be scope for the candidate to develop other research projects aligned with the broad interests of the labs.
Applicants should send their cv, research statement and the names of three referees. Enquiries may be directed to:
Professor Robert Hess Professor Kathy Mullen
Robert Hess (Prof)
McGill Vision Research
1650 Ave Cedar, L11.403
Montreal, Quebec, Canada
Register and submit questions in advance for the August 12 Webinar
[visionlist] Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition – 71372Posted: August 25, 2016
Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition – [ Postdoc ]
PAVIS department at Istituto Italiano di Tecnologia (IIT) (http://www.iit.it/pavis) is looking for a highly qualified candidate with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior understanding and prediction.
As the activities may be carried out in collaboration with other research units inside IIT, previous multidisciplinary experience is an added value which will be duly considered.
The main mission of PAVIS (Pattern Analysis and Computer Vision) is to design and develop innovative video surveillance systems, characterized by the use of highly-functional smart sensors and advanced video analytics features. PAVIS also plays an active role in supporting the other research units inside IIT providing scientists in Neuroscience, Nanophysics and other departments/centers with ad-hoc solutions.
To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal\multimedia data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners.
In particular, this call aims at consolidating PAVIS expertise in one or more of the following research areas:
Analysis of static and dynamic scenes;
Recognition (objects, scenes, actions, events, etc.) and reconstruction ;
Behavior Analysis & Activity Recognition (individuals, groups, crowd);
Prediction of intentions.
>From the methodological standpoint, the ideal candidate should be familiar with one or more of the following subjects: Graphical Models, Topic Models, Bayesian Nonparametrics, Deep Learning, Representation/Feature Learning, Sparse and Dictionary Learning, Clustering, Kernel methods, Manifold Learning and Statistical and Probabilistic Models in general.
Candidates to this position have a Ph.D. in computer vision, machine learning or related areas.
Research experience and qualification in computer vision and pattern recognition/machine learning are clearly a must and evidence of top quality research on the above specified areas, in the form of published papers in top conferences/journals and/or patents, is mandatory.
The call is opened to scientists with more seniority, having specific experience in the preparation and management of research proposals (EU, US, national), therefore a few years of postdoc experience, either in academia or industrial lab, should be manifest.
Evidence of such experience should be duly and clearly provided.
The winning candidate will also be asked to contribute to set up new (funding) project proposals and will participate in funding activities.
He/she is also expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and also collaborate with other scientists with different expertise.
The position is offered for an initial period of 2 years. Salary will be commensurate to qualification and experience and in line with international standards.
The workplace is Genova, Italy.
Further details and informal enquires can be made by email to email@example.com quoting PAVIS-PD 71372 as reference number in the subject line
Completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance to the above topics should be sent by email to firstname.lastname@example.org, quoting PAVIS-PD 71372 as reference number in the subject line.
Please also send 2 reference letters.
The call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by September 30th, 2016.
Fondazione Istituto Italiano di Tecnologia – IIT – was founded with the objective of promoting Italy’s technological development and further education in science and technology. In this sense, IIT’s scientific program is based in the combination of basic scientific research and development of technical applications, a major inspirational principle. Research areas cover scientific topics of high innovative content, representing the most advanced frontiers of modern technology, with wide application possibilities in various fields ranging from medicine to industry, from computer science to robotics, life sciences and nanobiotechnology.
In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow Istituto Italiano di Tecnologia to process his/her personal data.
We inform you that the information you provide will be solely used for the purpose of evaluating and selecting candidates in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data, and they will not be communicated to thirds.
Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Holder.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
[visionlist] UCL Institute of Ophthalmology Imaging Seminar notice – 12th September – Hao F. Zhang Ph.D.Posted: August 25, 2016
The deadline for submissions and registration is approaching for the Time in Tokyo meeting to be held on October 11-12th 2016 in Tokyo, Japan.
Deadline for submissions and registration:1st September 2016
This meeting aims to provide a setting for the leading researchers on temporal perception and experience to present and openly discuss their recent progress on this fundamental issue. The scope of potential submissions encompasses all disciplines interested in perception and experience of time and we expect to include, though are not limited to, human and animal behavioural and neuroscientific, artificial systems, and philosophical approaches.The meeting will consist of both talk and poster presentations and will have no registration fee. Submissions should be via email to: email@example.com.
More information can be found at the meeting website:
On behalf of the organising committee.Keisuke Suzuki (University of Sussex)Warrick Roseboom (University of Sussex)Ryota Kanai (Araya Brain Imaging)Shigeru Kitazawa (Osaka University)Takashi Ikegami (University of Tokyo)