[Neuroinfo] Call for Applications: Paul J. Salem Postdoctoral Scholars in Computational Brain Science – Brown Institute for Brain Sciences (Providence, RI).

[Thomas Serre]

The Brown University Initiative for Computation in Brain and Mind is
seeking applicants for the Paul J. Salem Postdoctoral Scholarships in Brain
Science. The postdoctoral fellow 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.

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.

The initial appointment is for 12 months, renewable for another year, and
potentially longer depending on funding. The start date is negotiable
though an early start is strongly preferred. Salary is commensurate with
experience and is competitive. We encourage Salem Scholars to seek external
funding during their appointment, as a critical component in their
professional development. Fellows who receive external funding that
supports their stipend during the second year of the fellowship will
receive a $10,000 bonus through this BIBS postdoctoral program as
recognition of this achievement. This bonus can be used as incremental
salary plus benefits or as flexible research and travel funds.

Research group:

The Initiative for Computation in Brain and Mind (ICBM;
http://compneuro.clps.brown.edu), which began Fall 2013 as a component of
BIBS, is an energetic and enthusiastic effort 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 (
http://compneuro.clps.brown.edu/people/) 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.

The Brown Institute for Brain Science (BIBS) advances multidisciplinary
research, technology development, and training in the brain sciences and
works to establish Brown University as an internationally recognized leader
in brain research. BIBS unites more than 100 faculty from a diverse group
of departments at Brown, spanning basic and clinical departments, and
physical and biological sciences. BIBS provides a mechanism to advance
interdisciplinary research efforts among this broad group.  BIBS provides
 essential support to obtain and administer multi-investigator grants for
research, infrastructure, and training. The Institute actively seeks new
training funds to support interdisciplinary education that transcends that
available in individual academic departments.


Requirements:

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).

Application:

Please send your applications by email to  cbm-info at brown.edu. Please
include a brief statement of interests, a curriculum vita, a list of
publications and 2-3 letters of reference (addressed directly to
cbm-info at brown.edu). 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.
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