[visionlist] Postdoctoral positions: Circuits and Mechanisms of Attention

NIH Funded postdoctoral positions: Synaptic and network mechanisms controlling
visual perception

The
Haider Lab
in the Dept. of Biomedical Engineering (BME) at Georgia Tech & Emory
University seeks 2 highly motivated and skilled postdoctoral fellows for 3–5 year
NIH BRAIN funded projects examining synaptic and network mechanisms supporting
sensory perception and visual attention.

Recent lab publications can be found here: https://b.gatech.edu/2Di4op8

The projects offer significant opportunity to
learn cutting-edge research techniques in
vivo, including 1) neural population recording with high-density silicon
electrodes, 2) optogenetic circuit manipulation, and 3) whole-cell
patch-clamp recording during behavior. 

The ideal candidate has expertise in patch
clamp or multi-electrode electrophysiology in
vitro or in vivo, and quantitative
skill in data acquisition and analysis (preferably with MATLAB).  Candidates should have excellent written and verbal
communication skills, an inquisitive mindset, and enthusiasm to work in a
multi-disciplinary team.

The position is funded for up to 5 years,
pending satisfactory performance upon annual review.  We are enthusiastic to form a diverse,
international research group.   All candidates will be mentored for independent
career development.

There is a strong, multidisciplinary concentration
of labs focusing on Neuroscience
@ GT and at Emory.  Atlanta is vibrant, green, and one of the
most affordable and livable major cities of the US.

Applications should include a CV, a brief
statement of research goals, expected date of availability, and names and
contact information of three references. 
Please email these materials to bilal.haider@bme.gatech.edu

The Wallace H. Coulter Dept. of Biomedical
Engineering
at Georgia Tech and Emory University is an equal opportunity employer committed
to diversity.  The Department is a unique
enterprise, spanning two of the top Engineering and Medical institutes in the
country.  This environment offers
unparalleled facilities and resources for the pursuit of understanding neural
circuits and their relationship to behavior and neurological dysfunction. 

Further information and recent lab publications
can be found at haider.gatech.edu

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[visionlist] Abstracts submissions open for CVR 2019, Predictive Vision conference

Poster abstract submissions are now open for
the International Conference on Predictive Vision (ICPV2019) York University in Toronto June 10-13 

Organized
by the Centre for Vision Research (CVR) and VISTA: Science to Applications
(VISTA), predictive vision is the focus of research in several fields and each
session of this conference spans three of them: human vision,
computer/computational vision, and visual neuroscience. Organizers: Patrick
Cavanagh, Doug Crawford, Richard Wildes

Conference website: http://bit.ly/2HjdAgL

 

Register here – CVR2019.eventbrite.ca

 

Poster Abstract Submissions

Deadline
for abstracts April 20, 2019.

Abstracts
should be 300 words or less and emailed to Irit Printz (cvr@yorku.ca).

Posters
can be up to 3ft (width) x 4ft (height).

Participants
are invited to bring equipment for table-top demonstrations (please provide
details).

Abstracts
can be submitted upon registration or any time before the deadline.

Acceptance
will be announced by May 7, 2019.

 

Highlights of the Conference

Over
20 interdisciplinary presentations spanning behavioural, computational and
neuroscience perspectives.

Trainee
and researcher poster sessions.

Satellite
workshops including Predictive Vision Philosophy on June 9th http://bit.ly/2RWgRGY

Industry
partners exhibition.

Networking
opportunities and final-day BBQ Banquet.

 

Speakers

Jim DiCarlo, Keynote
| Pierre-Michel BERNIER | Heiner DEUBEL | Russell EPSTEIN | Christoph
FEICHTENHOFER | Katja FIEHLER | Yasu FURUKAWA | Alexander GAIL | Julie GOLOMB |
Jackie GOTTLIEB | Mary HAYHOE | Sabine KASTNER | Dan KERSTEN | Angelika LINGNAU
| Jim LITTLE | Tirin MOORE | Chris PACK | John REYNOLDS | Angela SCHOELLIG |
Leonid SIGAL | Peter THIER | Antonio TORRALBA | Rufin VANRULLEN | David WHITNEY
| Rich ZEMEL

 

Why visit Canada?

York
University is 40 minutes north of Toronto city centre on the subway.

Niagara
Falls is a 1.5 hour trip by car.

We
are just a 2 hour flight from New York.

ICPV2019
is only the week before CVPR 2019 in California!

 


[visionlist] Call for Workshops/Tutorials at CAIP 2019 in Salerno, Italy

The CAIP2019
Organizing Committee invites proposals for workshops and tutorials
in
conjunction with the 18th International Conference on Computer
Analysis of Images and Patterns. The workshops and tutorials will
be
held as side events of the main conference.

Proposals for
Workshop

The CAIP2019
workshops will provide forums where participants will have
opportunities to discuss technical topics and actively share
ideas.
The topics of the workshops should be at the frontiers of academic
research or important applications in the domain of computer
vision
and pattern recognition. Each proposal will be assessed for its
scientific content, structure and relevance. Cogently, good
proposals
would encourage discussion and interaction between the
participants,
achievable in a several ways, e.g., through presentations of
submitted work, panel discussions and hands-on sessions.

Download
here the Call for Workshops

Proposals For
Tutorials

The CAIP 2019
Organizing Committee invites proposals for tutorials to be held as
side events of the main conference in Salerno, Italy. Tutorials
should serve one or more of the following objectives:

Introduce
students and newcomers to major topics of CAIP research

Provide
instruction on established practices and methodologies

Survey a mature
area of CAIP research and/or practice

Motivate and
explain a CAIP topic of emerging importance

Introduce
expert non-specialists to a CAIP research area

Proposals should
contain the following information:

The title and a
brief description of the tutorial

A detailed
outline of the tutorial, including preferred length of
tutorial: either 3 hours (half day) or 6 hours (full day). If
it is a full-day tutorial, please give a brief justification

Characterization
of the potential target audience for the tutorial, including
prerequisite knowledge and estimated number of attendees

A description
of why the tutorial topic would be of interest to a
substantial part of the CAIP audience

A brief resume
of the presenter(s), which should include name, title,
affiliation, e-mail address, background in the tutorial area,
example of work in the area (e.g. publications and/or
industrial work).

Download
here the Call for Tutorials

Submission

Proposals should be
submitted by electronic mail to the CAIP Organizing Committee
(caip2019@unisa.it)

Important Dates

Deadline for
workshop proposal: March 1, 2019
Notification
of Acceptance: March 15, 2019


[visionlist] PDRA in Manchester UK – Deadline approaching

[Apologies if you receive multiple copies] 

Post-Doctoral Research Assistant (Computer Vision and Machine/Deep Learning)

The CfACS Human-Centred Computing is looking for a Post-Doctoral Research Assistant to undertake research in the field of computer vision and machine/deep learning to improve our current diabetic foot ulcer detection technology (FootSnap) by re-designing and
further developing a foot care app for people with diabetes.

The Postdoc will re-design the FootSnap app, work with all relevant stakeholders to improve the mobile technology, conduct user acceptance trials, and develop a functional cross platform mobile app. The ideal candidate must have a PhD degree or be about to
obtain a PhD degree in Computer Vision and/or Machine/Deep Learning. Good software development skills are essential, preferably with previous work in Android or iOS development. Experience in developing algorithm based on data-driven (large datasets) approach
with at least one of the deep learning frameworks (e.g. Tensorflow, Caffe).

To apply: http://bit.ly/2W2FJfl

Many thanks

Best regards

Moi Hoon

Dr. Moi Hoon Yap 

Reader in Computer Vision

Lead, Human-Centred Computing

Address:

Manchester Metropolitan University | John Dalton Building (E129) | Chester Street | Manchester | M1 5GD
Telephone: (+44) 0161 247 1503 | Facsimile: (+44) 0161 247 6840
Website: http://bit.ly/2QUlSeD

We welcome your participation:

The Second Facial Micro-Expressions Grand Challenge: http://bit.ly/2W23KDd

Conference – CITS 2019: http://bit.ly/2QWRG2o

Special Issue “Human Behavioral Analysis for Face and Gesture: Pathways to automation”: http://bit.ly/2W0o5ZP

“Before acting on this email or opening any attachments you should read the Manchester Metropolitan University email disclaimer available on its website http://bit.ly/1aHKsTh


[visionlist] R&D Internships in Vision/AR/ML at Niantic, London

Niantic’s Research and Development team is seeking post-MSc or PhD-students, who are passionate about inventing new algorithms, to join us for a 3-month research internship to work on computer vision and learning, alongside our growing team of researchers in central London. The projects you will work on fit under the broad umbrella of artificial intelligence for augmented reality, including deep or shallow machine learning models, tracking, 3D reconstruction, localization, and graphics for mixed reality. We invite you to explore the best problems in vision with us.

Apply here: http://bit.ly/2TTIii3

Applications received by 1st February 2019 will receive priority consideration.

Responsibilities

You will dig deep into a fun computer vision and machine learning topic, becoming the expert and breaking new ground.

You will discover ways to automatically understand imagery and/or telemetry from the real world, to track, reconstruct, localize, synthesize, or recognize more accurately or more efficiently.

You will work alongside our other researchers, accepting help and aiding others, to make discoveries that will eventually help the Niantic Real World Platform, as it gets deployed for Niantic and outside developers alike.

Qualifications

Completed the requirements for an MSc and/or are enrolled in a PhD program, in computer science or a related field, with focus on computer vision, robotics, AR, or machine learning.

Experience building your own software systems in Python or C++, wrangling 2D and/or 3D data, training models, and running experiments.

Proficient at finding, reading, and efficiently critiquing and experimentally assessing published research papers.

Experience writing technical papers in English for a scientific audience.

Plus If…

You have had 1+ papers accepted to ICCV / NeurIPS / IROS / ISMAR / SIGGRAPH type conferences.

You have experience building fast or efficient computer vision systems.

You have experience designing your own architectures within a deep learning framework (e.g. PyTorch, Tensorflow, or similar).

You have collected and curated your own raw data.

Join the Niantic team!

Niantic is the world’s leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction.Originally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, and record-breaking AR game Pokémon GO. Our third title, Harry Potter: Wizards Unite, is currently in development.

Niantic is an Equal Opportunity and Affirmative Action employer. We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.

We’re a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, London, Los Angeles, Tokyo, and Hamburg.

— 

Gabriel Brostow

Professor of Machine Vision, UCL

Chief Research Scientist, Niantic 

http://bit.ly/2DisEav


[visionlist] Scottish Vision Group Meeting, April 5th-7th 2019, Isle of Skye

Dear all,

This is a call for participation in the Scottish Vision Group Meeting 2019, which will take place at Sabhal Mòr Ostaig (http://bit.ly/2QRx7Vi) on the Isle of Skye from Friday, April 5th to Sunday, April 7th 2019.

The Scottish Vision Group holds an annual conference for vision scientists from Scotland, the rest of the UK, Europe and beyond. The meeting is small and friendly, and aims to provide an opportunity for scientists at all stages of their career to present their work and discuss ideas. This year, we are pleased to announce that Professor Iain Gilchrist (University of Bristol) will deliver the MDPI Vision Keynote Lecture.

The abstracts from the meeting will be published in i-Perception. We have also been invited to collate a special issue of Vision based on the proceedings of the meeting, offering a great opportunity to get a full publication for no extra cost.

Registration fees:

Conference only: £90

Conference + single room: £200

Conference + shared twin room: £170

The conference registration includes all meals. The registration and payment portal will be available shortly.

Abstract submission: https://goo.gl/forms/MR3C85tQE7OnnDj62

Please submit by Friday, February 22nd at 11:59pm UK time. The abstract should be at most 250 words. We encourage students and junior researchers to participate. 

For further information, please see http://svg.psy.gla.ac.uk/.  For any questions or comments, please contact svgconference2019@gmail.com.

Regards,

Alasdair Clarke, Anna Hughes and Minjung Kim

— 

Alasdair Clarke, Anna Hughes, MJ Kim

SVG 2019 organizers

http://bit.ly/2VZZnca


[visionlist] [Journals] CFP: [Sensors] – Special Issue “Visual Sensors” (ISSN 1424-8220, IF 2.475)

Dear all,

The journal Sensors (ISSN 1424-8220, IF 2.475) is currently running a
Special Issue entitled “Visual Sensors”. Prof. Dr. Oscar Reinoso and Dr.
Luis Payá (Miguel Hernández University, Elche (Alicante), Spain), are
serving as Guest Editors for this issue. Based on your expertise in this
field, we invite you to contribute one paper to this special issue.

Special Issue Website: http://bit.ly/2SUBgte

The submission deadline is 31 January 2019. You may send your manuscript
now or up until the deadline. If you need more time to prepare your
manuscript, please feel free to let us know. Submitted papers should not
be under consideration for publication elsewhere. We also encourage
authors to send a short abstract or tentative title to the Editorial
Office in advance to fancy.chai@mdpi.com or sensors@mdpi.com.

Sensors is covered by leading indexing services, including the Science
Citation Index Expanded (Web of Science), PubMed/MEDLINE, Scopus,
Chemical Abstracts, INSPEC, and CAB Abstracts. The latest Impact Factor
for the year 2017 is 2.475, and the five-year Impact Factor is 3.014.

Sensors is fully open access. Open access (unlimited and free access by
readers) increases publicity and promotes more frequent citations, as
indicated by several studies. Open access is supported by the authors
and their institutes. Article Processing Charges of CHF 1800 (APC) apply
to accepted papers. You may be entitled to a discount if you have
previously received a discount code or if your institute is
participating in the MDPI Institutional Open Access Program (IOAP), for
more information see: http://bit.ly/2tUqmuz.
For further details on the submission process, please see the
instructions for authors at the journal website
(http://bit.ly/2fKjRVh).

We look forward to hearing from you.

Kind regards,

Ms. Fancy Chai
Assistant Editor
E-Mail: fancy.chai@mdpi.com
Sensors (http://bit.ly/2ANondF)

MDPI
St. Alban-Anlage 66, 4052 Basel, Switzerland
Tel. +41 61 683 77 34; Fax +41 61 302 89 18
http://www.mdpi.com/