[visionlist] Post-doctoral fellowships

Post-doctoral Fellowship in Visual Attention at the National Eye
Institute
The Krauzlis laboratory at the National Eye Institute is seeking
post-doctoral fellows. The goal of our research program is to
understand the neuronal circuits that accomplish visual selection
and attention, with a particular emphasis on the function of
subcortical mechanisms and their interactions with cortex. The
strategy of the experiments is to measure and manipulate neural
activity during the performance of visually guided choice tasks
using a range of techniques (e.g., ephys, fMRI, optogenetics,
viral-based methods). We use two animal models (non-human primates
and mice) and are especially interested in recruiting fellows to
work on rodent projects.
Candidates should have a strong background in systems and
computational neuroscience, with expertise in at least three of the
following areas: programming skills, especially using Matlab;
training animals on operant tasks; analysis of behavioral and
psychophysical data; recording and analysis of neuronal unit data in
behaving animals (non-human primates or rodents); optogenetics,
chemogenetics, and other viral-based methods; functional MRI;
computational modeling.
The position requires a PhD and is available starting in the fall of
2017.
Salaries will be based on experience and the NIH post-doctoral
scale.
To apply, or for more information, contact Rich Krauzlis
(richard.krauzlis@nih.gov).
Applicants should send a CV, 1-page statement of research interests,
and names of 2-3 references.

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[visionlist] AVA travel awards – deadline tomorrow

Dear all,

A last minute reminder of the AVA travel awards deadline tomorrow:

AVA Travel Awards provide funding (up to £750) for attendance costs at any conference or meeting at which the awardee will be presenting a paper or poster. Admissible costs are transport, registration, accommodation and subsistence (max £20/day) at a conference.

The awards are open to students registered for a PhD and post-docs within 5 year of achieving their PhD. Applicants must be AVA members and have attended at least one AVA meeting in the 18 months previous to the application deadline. Conferences must be held
in the period 1st April 2017 – 1st April 2018.

Two awards will be made: one (the CRS award) made possible by a donation from our corporate member Cambridge Research Systems, and the other (the Geoffrey J Burton award) made possible by the Vision Scientists Memorial Fund. Recipients of awards are required
to write a conference report for the AVA and CRS websites.

The closing date for applications is 1st April, 2017, midnight.

An application form can be downloaded from the website http://ift.tt/2khaSth

best,

Isabelle


[visionlist] VSS 2017 | Elsevier/VSS Young Investigator Recipient Announced


[visionlist] International Symposium on Image and Signal Processing and Analysis (ISPA 2017) – Call for papers

** Apologies for cross-posting **

*********************************************************************************
CALL FOR PAPERS
International Symposium on Image and Signal Processing and Analysis
(ISPA 2017)
http://www.isispa.org

Venue: Ljubljana, Slovenia
Date: 18-20 September 2017
Paper Submission Deadline: May 7th, 2017
*********************************************************************************

General Co-Chairs
Stanislav Kovacic and Sven Loncaric

Program Co-Chairs
Matej Kristan, Vitomir Struc and Mladen Vucic

Honorary Co-Chairs
Sanjit K. Mitra and Ruzena Bajcsy

** About **
The 10th International Symposium on Image and Signal Processing and
Analysis (ISPA 2017) will
take place in Ljubljana, Slovenia, on September 18-20, 2017. The aim of
the symposium is to foster
interaction of researchers and exchange of new ideas. Prospective
authors are invited to submit their
manuscripts reporting original work, as well as proposals for special
sessions. Topics of interest include,
but are not limited to:

+ Image and Video Processing
+ Image and Video Analysis
+ Image Formation and Reproduction
+ Signal Processing
+ Signal Analysis
+ Audio and Speech Processing
+ Texture Analysis
+ Related Applications

** Author Information **
Papers including title, author list and affiliations, figures, results,
and references should not exceed six
A4 pages. Detailed author instructions are available on the ISPA web
site. All submissions will be
subject to an international peer-review process. Accepted papers will be
send for inclusion into the
IEEE Xplore digital library. Authors of accepted papers are required to
register and present the paper.

** Technical Co-Sponsors **
+ IEEE Signal Processing Society
+ IEEE Slovenia Section
+ IEEE Slovenia Section Signal Processing Society Chapter

** Important Dates **
Submission of full paper: May 7, 2017
Notification of acceptance/rejection: July 3, 2017
Submission of camera-ready papers: July 10, 2017


[visionlist] HCP Course 2017: Faculty and Course Schedule Available — Register Now!

Faculty listings and the full schedule of covered topics are now available for the
2017
HCP Course: “Exploring the Human Connectome”, to be held June 19-23 at the
Djavad
Mowafagian Centre for Brain Health at University of British Columbia (UBC) in Vancouver, BC, Canada!

The 5-day intensive course
is a great opportunity to learn directly from HCP investigators and gain practical experience with the Human Connectome Project’s approach to multimodal whole brain imaging acquisition, processing, analysis, visualization, and sharing of data and results. 

For more info and to register visit the HCP
Course 2017 website. Don’t delay, registration is limited, and the course is filling up fast! Discounted on-site UBC accommodations are available through May 17, 2017 to attendees reserving through the HCP Course room block.If you have any questions, please contact us at: hcpcourse@humanconnectome.
We look forward to seeing you in Vancouver!
Best,
2017 HCP Course Staff

Jennifer Elam, Ph.D.Scientific Outreach, Human Connectome ProjectWashington University School of MedicineDepartment of Neuroscience, Box 8108660 South Euclid AvenueSt. Louis, MO 63110314-362-9387elam@wustl.eduwww.humanconnectome.org


[visionlist] [meetings]CFP – DSCI 2017 at San Francisco, USA – Due by Apr 7

Dear All,

We are glad to announce the availability of Call for Conference Papers 

for The 14th 2017 IEEE International Conference on Ubiquitous Intelligence 

and Computing, Main Research Track: Data Science and 

Computational Intelligence, Aug 4 – Aug 8, San Francisco, CA, US (DSCI 2017).

The purpose of this conference is to identify challenging problems facing 

the development of innovative knowledge and information systems, and 

to shape future research directions through the publication of high quality, 

applied and theoretical research findings. As we enter the big data era, 

Web Intelligence has extended and made use of artificial intelligence for 

new products, services and frameworks that are empowered by the 

World Wide Web. In DSCI 2017, we will continue the tradition of 

promoting collaboration among multiple areas. This year we are highlighting 

the advances in frontiers and applications of general areas such as big data, 

data science, artificial intelligence, social computing, data mining, information 

retrieval, and machine learning, etc. This is uniquely placed to deliver fresh 

perspectives on big data science.

 

Topics of interest include, but are not limited to, the following areas:

* Big Data Analysis

* Data Science

* Artificial Intelligence

* Data Mining

* Machine Learning

* Recommender Systems

* Deep Neural Networks

* Systems Neuroscience

* Reinforcement Learning

* Robotics

* Database

* Computer Vision

* Natural Language Processing

* Human-Computer Interaction

* Software Engineering

* Social Computing

Accepted papers must contain novel results. Contributions can be either 

theoretical or empirical. Results will be judged on the degree 

to which they have been objectively established and/or their 

potential for scientific and technological impact.

==============================

The 2017 IEEE International Conference on Ubiquitous Intelligence and Computing, 

Main Research Track: Data Science and Computational Intelligence

                               Aug 4 – Aug 8, San Francisco, US (DSCI 2017)

Author Notification: May 10, 2017

Camera-Ready Due: June 10, 2017     

==============================

Research Track Chairs:

Shuai Li, University of Cambridge, UK

Fei Hao, Shaanxi Normal University, China

Program Committee Members:

Qingcheng Zhang, St. Francis Xavier University, Canada

Zheng Pei, Xihua University, China

Arjumand Younus, National University of Ireland Galway, Ireland

Xiaoliang Chen, Xihua University, China

Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan

Pitt X. Dong, BiciTech, China

Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland

Xiaokang Wang, Huazhong University of Science and Technology, China

Khurram Shahzad, University of the Punjab, Pakistan

Shi Cheng, Shaanxi Normal University, China

Don-Wan Choi, Simon Fraser University, Canada  

Shengtong Zhong, Norwegian University of Science and Technology, Norway

+Paper Submission: 

A submission in PDF is limited to 8 pages for a main conference paper, 

following the IEEE proceedings format: 

http://ift.tt/2iy0lc3

Submit by email directly:

sl814@cam.ac.uk and fhao@snnu.edu.cn

+Paper Publication:

Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed). 

At least one author of each accepted paper is required to register and present their 

work at the conference; otherwise the paper will not be included in the proceedings. 

Best Paper Awards will be presented to high quality papers. Selected papers will be 

recommended to special issues, more details see http://ift.tt/2oDpbsU

Should you have any other concern feel free to contact: 

shuai.li@eng.cam.ac.uk


[visionlist] Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data – [ Postdoc 73154 ]

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data – [ Postdoc ]
Workplace: IIT – Genova – Italy

The Pattern Analysis and Computer Vision department (PAVIS) at IIT (http://ift.tt/1pQq6j9) is looking for a highly qualified candidate in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis interested and possibly with some experience on Biomedical Data Analysis.

PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging.

The main mission of PAVIS is to design and develop innovative computational frameworks for advanced image-based and video-based data analysis, characterized by the use of smart sensors and advanced imaging devices. PAVIS plays an active role in supporting other research units at IIT providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.

For this reason, previous multidisciplinary experience is an added value which will be properly considered.

The biomedical imaging team is involved in activities concerning:

• Biomedical image analysis;

• Analysis of multimodal neuroimaging data (functional and structural connectomics);

• Biological signal/image/video processing;

• Analysis of microscope optical imaging;

• Animal behavior analysis (classification and abstraction).

The ideal candidate must be knowledgeable within one or more of the following subjects: probabilistic graphical models, topic models and Bayesian non-parametric, relational learning, deep learning, RBMs, neural networks and auto-encoders, sparse and dictionary learning, kernel methods and manifold learning, graph-based learning and spectral analysis.

Candidates to this position have, therefore, a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines.

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. A keen interest in biomedical applications is of course necessary. Strong programming skill is required.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, supervising PhD candidates and collaborate with scientists from different disciplines.

The position is offered for a period of 2 years. Salary will be commensurate to qualification and experience and in line with international standard.

Further details and informal enquires can be made by email to pavis@iit.it quoting PAVIS-PD 73154 as reference number in the subject.

Please send you application both to pavis@iit.it and to applications@iit.it, quoting PAVIS-PD 73154 as reference number, along with a curriculum listing all publications (possibly including pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees.

This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by April 15, 2017.

In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), we have to kindly ask the candidate to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be used solely for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia.

Your data will be processed by Istituto Italiano di Tecnologia, with headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper based means, observing the rules on protection of personal data, including those relating to the security of data. 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 Manager.

Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.