Connectionists: Call for Applications: Paul J. Salem Postdoctoral Scholars in Computational Brain Science – Brown Institute for Brain Science

Michael J Frank Michael_Frank at brown.edu
Thu Feb 25 14:47:30 EST 2016


The Brown Institute for Brain Science Initiative for Computation in Brain
and Mind <http://compneuro.clps.brown.edu> 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.



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 with the potential to renew. The
salary is competitive. The start date is negotiable although funding is
available now.



Research group:

*The Initiative for Computation in Brain and Mind (ICBM;*
<http://compneuro.clps.brown.edu>http://compneuro.clps.brown.edu), 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 (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. 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.





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 vitae, 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.


------------------------------

Michael J Frank, PhD, Professor
Laboratory for Neural Computation and Cognition
Brown University
http://ski.clps.brown.edu
(401)-863-6872
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