Postdoctoral Fellowships in Theoretical and Computational
Neuroscience
University of Pennsylvania
The Computational Neuroscience Initiative (CNI, http://cni.upenn.edu)
of the University of Pennsylvania seeks exceptional candidates for
a CNI Postdoctoral Fellowship. Candidates with strong
quantitative skills from a variety of fields including
neuroscience, cognitive science, psychology, physics, mathematics,
and engineering will be considered. The selected Fellows will join
an inter-disciplinary research environment in historic
Philadelphia. CNI Fellows will be encouraged to foster
collaborative research between multiple labs.
The CNI supports inter-disciplinary and collaborative research at
the frontier of knowledge about the brain, behavior, and the mind.
We focus on systems-level approaches that integrate theory and
computation with experiment. Our members include faculty,
post-docs, and students from multiple programs and departments
including neurobiology, cognitive science, psychology, physics,
mathematics, electrical engineering, bioengineering, and computer
science. Our research and training spans the three major elements
of the field of Computational Neuroscience: 1) Theory –
understanding the brain as an information-processing machine; 2)
Experiments – providing quantitative methods to aid in the design,
implementation, analysis, and interpretation of empirical studies
that probe all levels of brain function, from molecules to
behavior; and 3) Applications – including robotics, brain-machine
interfaces, and new clinical tools.
Applications should be submitted by email to compneuro@sas.upenn.edu and
should consist of a CV and a cover letter stating the candidate's
research experience and reasons for applying to this Fellowship.
Please arrange for up two three letters of recommendation to be
sent to the same email address with the candidate’s name in the
subject line. Review of applications will occur on a rolling basis
until the positions are filled
The University of Pennsylvania values diversity and seeks talented
individuals from diverse backgrounds (http://jobs.hr.upenn.edu).