<div dir="ltr"><div class="gmail_quote"><br><div dir="ltr"><p><span style="font-size:12pt;line-height:115%">The Brown
Institute for Brain Science<a href="http://compneuro.clps.brown.edu" target="_blank"> Initiative for Computation in Brain and Mind</a> is seeking
applicants for the Paul J. Salem Postdoctoral Scholarships in Brain Science. The
postdoctoral scholars will lead an exciting new project at the interface
between machine learning and neuroscience. In particular, we are looking for
computational neuroscientists interested in the application and development of
novel machine learning methods for the analysis of neural recordings. </span></p>
<p> </p>
<p><span style="font-size:12pt;line-height:115%">Candidates are
expected to have a solid background in modern machine learning and signal
processing as well as demonstrated interest in experimental neuroscience. In
addition, to conducting primary research with large neural data sets,
candidates will be involved in the mentoring of students, and the organization
of workshops. Candidates are expected to interact closely with the
Neurotechnology group within the Brain Institute.</span></p>
<p> </p>
<p><span style="font-size:12pt;line-height:115%">The initial
appointment is for 12 months with the potential to renew. The salary is
competitive. The start date is negotiable although funding is available now. </span></p>
<p><span style="font-size:12pt;line-height:115%"> </span></p>
<p><span style="font-size:12pt;line-height:115%">Research group:</span></p>
<p><b><span style="font-size:12pt;line-height:115%">The Initiative for Computation in Brain and Mind
(ICBM;</span></b><a href="http://compneuro.clps.brown.edu" target="_blank"><b><span style="font-size:12pt;line-height:115%;color:windowtext;text-decoration:none"> </span></b></a><a href="http://compneuro.clps.brown.edu" target="_blank"><span style="font-size:12pt;line-height:115%">http://compneuro.clps.brown.edu</span></a><span style="font-size:12pt;line-height:115%">), which began Fall 2013 within the
Brown Institute for Brain Science, creates an exciting intellectual environment
that fosters synergistic collaborations across departments. Groups affiliated
with the initiative work on two core levels of computation. The first level
focuses on theoretical neuroscience, including computational perception,
control over action and learning, and fundamental questions in neuronal
networks (synaptic plasticity, circuits, networks, oscillations). The second
level focuses on applications and neurotechnology, including brain-machine
interfaces, advanced neural data analysis, computer vision, computational
psychiatry, and robotics. ICBM has 16 core computational faculty (</span><a href="http://compneuro.clps.brown.edu/people/" target="_blank"><span style="font-size:12pt;line-height:115%">http://compneuro.clps.brown.edu/people/</span></a><span style="font-size:12pt;line-height:115%">) spanning six departments, and many
more faculty who incorporate computation for theory development, analysis, or
both. Computational neuroscience tools at Brown have been applied in projects
including brain-machine control of robotic arms in paralyzed humans; models of
visual systems in biological organisms and their innovative application for
classifying animal behavioral patterns; predicting and quantifying effects of
genetics, disease, medications, and brain stimulation on motor and cognitive
function; identification of the source of neural rhythms and their roles in
sensorimotor function; development of fundamental theories of brain plasticity,
and learning; state-of-the art models of machine learning and reinforcement
learning in computer science. </span></p>
<p> </p>
<p><span style="font-size:12pt;line-height:115%">The Brown
Institute for Brain Science (BIBS) advances multidisciplinary research,
technology development, and training in the brain sciences. BIBS unites more
than 100 faculty from departments across Brown, spanning basic and clinical
departments, and physical and biological sciences. BIBS creates opportunities
and essential support to advance interdisciplinary research efforts among these
groups including training funds to support interdisciplinary scholarship and
research.</span></p>
<p> </p>
<p><span style="font-size:12pt;line-height:115%"> </span></p>
<p><span style="font-size:12pt;line-height:115%">Requirements:</span></p>
<p> </p>
<p><span style="font-size:12pt;line-height:115%">Candidates must
have received their PhDs within 3 years of the application deadline, and will
work under the supervision of faculty members at Brown University who are
affiliated with the Initiative for Computation in Brain and Mind. They must have a strong background in
computational neuroscience and machine learning, with a track record of
relevant publications at top venues (such as NIPS or ICML). Excellent
programming skills are required (C/C++/Matlab/Python). </span></p>
<p> </p>
<p><span style="font-size:12pt;line-height:115%">Application:</span></p>
<p><span style="font-size:12pt;line-height:115%">Please send
your applications by email to <a href="mailto:cbm-info@brown.edu" target="_blank">cbm-info@brown.edu</a>. </span><span style="font-size:12pt;line-height:115%">Please include a brief statement of
interests, a curriculum vitae, a list of publications and 2-3 letters of
reference (addressed directly to <a href="mailto:cbm-info@brown.edu" target="_blank">cbm-info@brown.edu</a>). There is no deadline for
the application but applicants are encouraged to apply as soon as possible as
the position will be filled as soon as a suitable applicant is found.</span></p><p></p>
<p> </p>
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<div><div><div dir="ltr"><div>Michael J Frank, PhD, Professor<br>Laboratory for Neural Computation and Cognition<br>Brown University<br><a href="http://ski.clps.brown.edu" target="_blank">http://ski.clps.brown.edu</a><br><a href="tel:%28401%29-863-6872" value="+14018636872" target="_blank">(401)-863-6872</a></div></div></div></div>
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