[visionlist] Postdoctoral position in OSU Vision & Cognitive Neuroscience Lab

A postdoctoral position is available in Dr. Julie Golomb’s Vision & Cognitive Neuroscience Lab (https://ift.tt/2FmsgdF) at The Ohio State University. Research topics in the lab include neural
representations of space and attention; visual stability across eye movements; and object feature-binding. We use a variety of methodologies in the lab, including psychophysics, gaze-contingent eye-tracking, advanced fMRI and EEG
methods, and computational analyses.

Candidates should have a recent Ph.D. in a relevant field (e.g., Psychology, Neuroscience, Computer Science), strong quantitative and technical skills, and shared interests in the core research area. Experience with fMRI and/or EEG and model-based
analyses is highly desirable. Proficiency in programming is necessary (e.g. Matlab or Python). 

OSU is home to a vibrant community of cognitive neuroscientists, computational modelers, and vision scientists in the Psychology Department and Center for Cognitive and Brain Sciences, as well as interdisciplinary interactions with colleagues
in electrical engineering, computer science, optometry, and neuroscience. The Psychology building houses state-of-the-art fMRI and EEG facilities, both equipped with EyeLink eye-tracking systems. OSU is located in the heart of Columbus, a lively and affordable
city. 

Start date is flexible. Applicants are asked to send a CV, a brief statement of research interests, the expected date of availability, and the names and contact of three references to golomb.9@osu.edu. 

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[visionlist] Call: “Computational Approaches for Human-Human and Human-Robot Social Interactions” for Frontiers in Robotics and AI

In collaboration with the journal Frontiers in Robotics and
AI we are bringing together a selected group of international experts to
contribute to an open-access article collection on:

“Computational Approaches for Human-Human and
Human-Robot Social Interactions”

Visit the collection homepage for the full description of
the project: https://ift.tt/2uhUuig

 

Guest Editors:

Vittorio Murino,
Fondazione Istituto Italiano di Technologia, Genoa, Italy

Cigdem Beyan,
Fondazione Istituto Italiano di Technologia, Genoa, Italy

Gentiane Venture, Tokyo University of Agriculture and
Technology, Fuchu, Japan

Agnieszka
Wykowska, Fondazione Istituto Italiano di Technologia, Genoa, Italy

 

Abstract submission deadline is 12 Sep 2018

Manuscript submission deadline is 11 Jan 2019

 


[visionlist] Resting-State and Brain Connectivity 2018, in Montreal


[visionlist] Postdocs and PhD Positions at Manchester Metropolitan University UK

We are recruiting two Postdocs and one PhD student at the Manchester Metropolitan University. The closing date for two Postdoc Positions is on the 31st August 2018 and the closing date for PhD Position is on the 31st July 2018. Details:

Postdoc in Machine Learning: https://ift.tt/2KQ0g4V

Postdoc in Software Development: https://ift.tt/2NdgnGH

PhD Position: https://ift.tt/2KUwiNi

For informal discussion, please contact
M.Yap@mmu.ac.uk. For informal discussion on Postdoc in Software Development, please contact Dr. Tom Allen (T.Allen@mmu.ac.uk).

Many thanks

Best regards

Moi Hoon

Dr. Moi Hoon Yap 
Royal Society Industry Fellow, Image Metrics Ltd 

Reader, Manchester Metropolitan University

Address:

John Dalton Building (E129) | Chester Street | Manchester | M1 5GD
Telephone: (+44) 0161 247 1503 | Facsimile: (+44) 0161 247 6840
Website: https://ift.tt/2m9yrpl

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


[visionlist] PhD Studentship in Deep Learning and Augmented Reality at Manchester

This
is a joint PhD studentship between Manchester Metropolitan and Image Metrics Ltd, funded by The Royal Society. This project will improve the realism of facial appearance try-on technology by developing a novel and light-weight solution for real-time inpainting.
This research will investigate deep learning architectures for various augmented reality tasks. 

Virtual try-on technology assists consumer in making purchase decision when shop online. With the popularity of mobile devices, virtual try-on for faces has been widely used for cosmetic
and gaming. In medical practices for face reconstruction surgery, there is a growing need to be able to find the realistic appearance for people with face defects. In addition, the ability to predict a face with occlusion can improve the face recognition rate
in security application. This project proposes a new technique that can inpaint the missing face region with realistic appearance. Recent work shows the ability to inpaint face regions however these methods only work on small images and take a long processing
time. This project will design a solution using a machine intelligence method that work efficiently on mobile devices. The solution will be tested and deployed in collaboration with Image Metrics Ltd in real-world applications.

The PhD candidate will receive professional development training from the University, the industry partner and attend external training. To ensure the candidate has exposure to
commercial setting, s/he will spend 60% of their time at Manchester Metropolitan University and 40% at Image Metrics Ltd (https://ift.tt/2m7SbK1). The joint supervision will broaden the perspective on the research
impact and enrich the student experience as s/he gains a wider understanding of applied research and different training environments. The PhD student will have access to training, facilities and expertise in both organisations, which is very valuable particularly
in enhancing their employability, ideally becoming a leader in her/his field. With such setting, the student will benefit from different algorithm/software development with an applied or translational dimension.

To apply, please follow: https://ift.tt/2uopKv3

For informal discussion, email:
M.Yap@mmu.ac.uk

Many thanks

Best regards

Moi Hoon

Dr. Moi Hoon Yap 
Royal Society Industry Fellow, Image Metrics Ltd 

Reader, Manchester Metropolitan University

Address:

John Dalton Building (E129) | Chester Street | Manchester | M1 5GD
Telephone: (+44) 0161 247 1503 | Facsimile: (+44) 0161 247 6840
Website: https://ift.tt/2m9yrpl

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


[visionlist] PhD Scholarships in Computing and Information Systems at the University of Melbourne


[visionlist] Postdoc @ The Krembil Research Institute (Toronto)

Please distribute this email to your members.

A post-doctoral position is available at The Neural
Systems & Brain Signal Processing Lab (PI: Dr. Milad Lankarany) located in The
Krembil Research Institute, Toronto, Canada.

 

The Krembil Research Institute is
associated with the Toronto Western Hospital and is one of the largest research
institutes in Canada focusing on human neurological diseases from a basic
science and clinical research perspective. The University Health Network,
Canada’s largest academic hospital network, has a strong interdisciplinary
research program in vision, spinal cord, regenerative neuroscience and
arthritis.

 

The ideal
candidate should have a PhD with a strong quantitative background (ideally in
the field of Computational Neuroscience/Applied Mathematic/Signal Processing
& Information Theory/Machine Learning). The position is funded for one year
with possibility of extension.

The focus of our Lab is on the development of computational
models and techniques to infer the hidden states (dynamics) of the neural
systems from sparse observations.
Particularly, we aim to understand how the sensory information is represented (Encoded
– Decoded) and propagated. Additional details are available at https://ift.tt/2LavAHy.

Applications should include a CV, a statement of research interests (max 
1 page), and the contact info of three academic
advisors, ALL IN ONE PDF.

Please contact Dr. Milad Lankarany (milad.lankarany@gmail.com) if you are interested.    

Milad Lankarany, Ph.D.