[visionlist] Summer school in Computational Sensory-Motor Neuroscience (CoSMo 2014)

Fourth Annual Computational Sensory-Motor
Neuroscience Summer School (CoSMo 2014)
University of Minnesota, Minneapolis, MN, USA
August 3-17, 2014

We would like to invite you to join us for the third annual
Computational Sensory-Motor Neuroscience Summer School. The course
is about experimental, computational and medical aspects of
sensory-motor neuroscience with a focus on data/model sharing.
Covered topics include Bayesian approaches, motor control,
computational neuroimaging, sensory-motor transformations and
prosthetics.
An important focus is on doing research as opposed to just hearing
about it. Each teaching module will take up two days with morning
lecture sessions. Afternoon sessions involve hands-on Matlab
programming, simulation and data-analysis. Newly acquired
computational tools can also be applied in 2-week evening group
research projects.
The course is aimed at students and post-doctoral fellows from
diverse backgrounds including Life Sciences, Psychology, Computer
Science, Physics, Mathematics and Engineering. Basic knowledge in
calculus, linear algebra and Matlab is expected. Enrollment will be
limited to 40 trainees.Application deadline: April 27, 2014
For more information and to apply, please go to http://ift.tt/1kkoH2N

The school is co-organized by Drs Gunnar Blohm, Paul Schrater and
Konrad Körding. It receives funding from the National Sciences and
Engineering Research Council of Canada (NSERC) via an NSERC-CREATE
training grant on “Computational Approaches in Neuroscience –
Action, Control & Transformations”, and from the National
Science Foundation (NSF, USA).


[visionlist] UCL/MSR-Cambridge/RVC: PhD in Vision-based Tracking of Quadrupeds

If you love computer vision and coding, and want to have major impact on
science (and you are considered an EU-resident), please read on!

We have funding for an excellent student from the EU to complete a 3 year
Computer Science PhD at University College London. The co-supervisors for this
project are Jamie Shotton of Microsoft Research Cambridge who leads the Kinect
pose-estimation effort, and Thilo Pfau & Andrew Spence, animal locomotion
experts at the Royal Veterinary College in north London.

This PhD combines computer vision, machine learning, graphics, and
biomechanics. Applicants will develop skills and make contributions in all
these areas, but should already be fairly strong in one or two of them.

Under the interdisciplinary supervision of experts in computer vision, biology,
and veterinary medicine, the student will both build computer vision systems
and use these to investigate real outstanding scientific and clinical
questions. On the vision side, we believe recent advances in understanding
human shape and motion can be extended to work for quadrupeds. Animals are
substantially different to humans in interesting ways, and we have identified
many hard technical issues here. On the biological side, we aim to investigate
how body morphology and the ultimate constraints of stability, energetic cost,
and dexterity shape animal gait. On the clinical side, this studentship will
make essential contributions to applying the developed techniques across
species with the potential for large welfare and economic benefits. This
project offers the student a rare opportunity to become a world expert, guided
by top specialists in vision and biology, just when their respective strengths
are ready to be exploited.

At UCL Computer Science, the PhD student will be based in Gabriel Brostow’s
group in central London. The student will make visits to collect data and run
experiments to the RVC in North London, and will have opportunities to spend
periods of time at MSR-Cambridge. The student is expected to work with other
students and postdocs in our teams and with the larger cohort of researchers at
the three sites.

Programming experience desired: high proficiency in one or more of Matlab / C++
/ Python. The PhD is a time to learn new things, but the idealized candidate
would have completed small projects with some combination of machine learning,
GPU, Qt, OpenGL, and OpenCV-type libraries. As an example reference guide, see
the topics covered in the Prince textbook,
http://ift.tt/KtNmW7.

Application Instructions:
You’ll need to submit an online application here as soon as possible:
http://ift.tt/1eWzIX4. (Deadlines listed
there do not apply to funded studentships like this. Recruiting ends when we
find the right person.) Please make sure to put Gabriel Brostow as the
supervisor but you should also email me *now* (g.brostow at ucl.ac.uk) so we
know to look out for your application (and please use the text “kinect4legs” in
the Subject line).


[visionlist] UCL: PhD in Spatiotemporal Models of Retinal Images

If you love applying machine learning and want to help save babies from going
blind (and you are considered an EU-resident), please read on!

We have funding for an excellent student from the EU to complete a 3 year
Computer Science PhD at University College London.

This PhD combines machine learning, computer vision, and ophthalmology.
Applicants will develop skills and make contributions in all three areas, but
should already be fairly strong and excited about one or two of them.

The project aims to help clinicians screen for Retinopathy of Prematurity
(ROP), an illness that causes blindness in premature babies when undetected.
Read more about ROP further below. Our goal is to develop a model of how the
retina looks over time a) when an eye is healthy, b) as ROP progresses, and c)
as a result of laser treatment. The probabilistic generative model for these
cases will be learned from image data of real
patients.
Subsequently at test time, given image(s) of a premature baby’s retina, we will
be able to assess the probability that the baby is healthy or at-risk. This
research will be a form of structured texture-synthesis, with algorithms and
applications beyond “just” medical images.

Retinpathy of Prematurity (ROP): ROP is one of the few ophthalmic conditions in
which a diagnosis to treat or not is urgent. Screening is essential, but
difficult. A simple retinal camera is needed, but also expertise and
experience. Even in middle-income countries where a camera is available, there
are often not enough qualified ROP experts to examine all the at-risk babies.
In low-income countries there is currently a large proportion of premature
infants facing a lifetime of blindness from untreated ROP due largely to a lack
of screening facilities. Preliminary research has revealed further challenges.
A fairly universal international grading system is used by experts to grade the
severity of a case. However, research has shown that experts do not tend to
agree on the grading for each eye because there is no agreed model of disease
progression.

At UCL Computer Science, the PhD student will be based in Gabriel Brostow’s
group. The co-supervisor is Dr. Clare Wilson, Paediatric Ophthalmologist at
Great Ormond Street Hospital, and at UCL Institute of Ophthalmology. The
research areas overlap and the student is expected to work with other students
and postdocs in our team (http://ift.tt/1eWzGOU)
and the larger cohort of vision + machine learning researchers here. UCL is in
central London, and is one of the top 3 groups for Vision/Learning/Graphics in
Europe. For ophthalmology expertise, this is THE place to be.

Programming experience desired: high proficiency in one or more of Matlab / C++
/ Python. The PhD is a time to learn new things, but the idealized candidate
would have completed small projects with some combination of machine learning,
GPU, Qt, and OpenCV-type libraries. As an example reference guide, see the
topics covered in the Prince textbook, http://ift.tt/KtNmW7.

Application Instructions:
You’ll need to submit an online application here as soon as possible:
http://ift.tt/1eWzIX4. (Deadlines listed
there do not apply to funded studentships like this.) Please make sure to put
Gabriel Brostow as the supervisor but you should also email me *now* (g.brostow
at ucl.ac.uk) so we know to look out for your application (and please use the
text “synthROP” in the Subject line).


[visionlist] Call for Abstracts for the Ocular Immunity, Autoimmunity and Inflammation Conference.


[visionlist] PhD position KU Leuven, Neurophysiology-Psychiatry

Applications are invited for a PhD position in the Department of Neurosciences at the KU Leuven, Belgium.

The candidate will work with Jan Jastorff and Mathieu Vandenbulcke, investigating the emotion circuits in the brain of healthy volunteers and patients with neurodegeneration. The ideal candidate will have good programming skills and an
interest in affective neuroscience and neuroimaging. Over the course of the project, the student will develop skills in state-of-art imaging techniques, including structural and functional MRI, DTI and combined fMRI-TMS.

The candidate should have a Diploma/Master in psychology, neuroscience, engineering or computer science. Experience in neuroimaging and proficiency in programming (e.g. Matlab) is highly desired. Excellent communication skills in English
are essential; proficiency in Dutch is a plus.

To apply please send a CV, including the expected date of availability, a short statement of research interests, and contact information of at least 3 references to jan.jastorff@med.kuleuven.be


[visionlist] Decision Making Bristol 2014: Abstract Submission deadline EXTENDED to 7 April 2014

**The Deadline for submission of abstracts to the Decision Making Bristol 2014 conference has been extended to 7 April 2014.**

Decision Making Bristol 2014

The Decision-making Group at the University of Bristol invites you to submit abstracts to our second conference – Decision Making Bristol 2014 – to be held 9-12 September 2014.  Following the success of the 2012 conference, this conference aims to embrace a breadth of research, appealing to those interested in all aspects of decision making. 

We are pleased to announce that the following Key Note speakers have been secured Gerd Gigerenzer, Tom Griffiths, Antonio Rangel and Jeffrey D. Schall. These will be accompanied by invited talks from Nick Chater,  Eric-Jan Wagenmakers and Daniel Wolpert.

Held in the beautiful city of Bristol, at one of the UK’s leading science and discovery centres, At-Bristol, the conference will promote interdisciplinary collaborations and welcomes attendance from both theoreticians and experimentalists.

The call for short abstracts (500 words) is now OPEN and we invite you to submit your abstract to the following email address: DMB-2014@bristol.ac.uk.  The closing date for receipt is now **7 April 2014**.

Further information and Registration:   http://ift.tt/1ggrw11 closing date is 30 June 2014.

Please feel free to share this email with your colleagues and research students.  We look forward to seeing you in September.

Best wishes, 

Sally-Ann Parry, on behalf of the Decision-making Group


[Imageworld] Call for Participation: CVPR 2014 Doctoral Consortium

Call for Participation: CVPR 2014 Doctoral Consortium

Submissions due: April 20, 2014

Overview