Connectionists: Ph.D. in Neuroscience at Princeton University: Application deadline Dec 1

Tue Nov 6 12:11:57 EST 2012

Ph.D. in Neuroscience at Princeton University: Application deadline Dec 1

Dear Colleague,

We'll be grateful if you get a chance to forward this message to any interested students, or post the attached brochure, announcing the Ph.D. program in Neuroscience (http://neuroscience.princeton.edu/PhD) within the Princeton Neuroscience Institute (http://neuroscience.princeton.edu). Fall 2013 will see the fifth generation of students enrolling in this Ph.D. program. During our first four years, we have enrolled spectacular students, and we are again seeking the most highly motivated and creative students. Students from diverse backgrounds are particularly encouraged to apply.

Innovative coursework. A key component of our Ph.D. is year-long core course, taken in the first year and inspired by Woods Hole-style advanced courses. Students in this core course learn through a combination of lectures and first-hand experimental experience using modern, advanced methods. All students, regardless of previous experience, perform their own experiments. From single neurons and patch clamp, to ChR expression and activation, to in vivo electrophysiology in behaving animals, to computational modeling, to human neurophysiology and functional MRI, this course guides and teaches students about the brain as they learn to design, perform, analyze, and critique their own experiments.

Quantitative and Computational Neuroscience track. We strongly encourage students with training in quantitative fields such as physics, mathematics, computer science, or engineering to apply to our PhD program. Research in quantitative approaches to the Life Sciences is particularly strong at Princeton University, including molecular biology, neuroscience, evolutionary biology, and psychology. A Quantitative and Computational Neuroscience (QCN) track exists within our neuroscience Ph.D. It teaches students with a quantitative background about neuroscience problems to which they can apply their quantitative skills. The QCN track also serves students with a biology background who wish to acquire further training in quantitative tools for the biological sciences.

Faculty and research interests
Michael Berry: Neural computation in the retina
William Bialek (Associated): Interface between Physics and Biology
David Blei (Affiliated): Probabilistic graphical models and approximate posterior inference
Matthew Botvinick: Cognitive control, decision making, and working memory
Lisa Boulanger: Neuronal functions of immune molecules
Carlos Brody: Quantitative approaches to systems neuroscience
Rebecca Burdine (Affiliated): Left-right patterning in the vertebrate embryo
Tim Buschman: Understanding how neural circuits compute, drive behaviors, yield brain disorders, and can serve as therapeutic targets
Rene Carmona (Affiliated): Stochastic models and image analysis
Jonathan Cohen: Neural mechanisms of cognitive control
Andrew Conway (Affiliated): Functional and effective connectivity of working memory networks
Ingrid Daubechies (Affiliated): Time-frequency analysis and applications
Lynn Enquist: Neurovirology
Susan Fiske (Affiliated): Social Neuroscience: prejudice, social emotions, and dispositional attribution
Liz Gavis (Affiliated): RNA localization and translational regulation during development in Drosophila
Alan Gelperin (Associated): Biological, computational and electronic olfaction; learning and memory
Asif Ghazanfar: Primate neuroethology and multisensory integration
Elizabeth Gould: Neurogenesis and hippocampal function
James Gould (Affiliated): Programming and decision making in animals
Michael Graziano: Sensorimotor integration
Charles Gross: Functions of the cerebral cortex in behavior
Uri Hasson: Shared and idiosyncratic aspects of cortical response time courses
Philip Holmes (Associated): Mathematical modeling
John Hopfield (Emeritus): Computational neurobiology/biophysics
Barry Jacobs: Brain monoamine neurotransmitters
Sabine Kastner: Neural mechanisms of visual perception and attention
Coleen Murphy (Associated): Molecular mechanisms of aging
Mala Murthy: Neural codes underlying olfactory and auditory perception in Drosphila
Yael Niv: Human and animal reinforcement learning and decision making
Kenneth Norman: Cognitive neuroscience of learning and memory
Daniel Osherson (Affiliated): How does the brain reason?
Peter Ramadge (Affiliated): Video and image processing, and adaptive systems
Michael Romalis (Affiliated): Biophysics theory and experiment
Daniel Rubenstein (Affiliated): Adaptive patterns of social behavior
Robert Schapire (Affiliated): Theoretical and applied aspects of machine learning
Clarence Schutt (Affiliated): Biophysics and structural biology
Robert Stengel (Affiliated): Optimal control of disease processes
Jeffrey Stock (Affiliated): Membrance receptors and signal transduction
David Tank: Measurement and analysis of neural circuit dynamics
Alex Todorov (Affiliated): Cognitive neuroscience of social cognition and behavior
Samuel Wang: Learning rules and design principles in neural circuits
Ilana Witten: Neural circuits of learning probed with optogenetic tools

For more information, please visit us at http://neuroscience.princeton.edu/PhD.

Yours,

Matt Botvinick

---------------------------------------------------------------------
Matthew Botvinick, M.D., Ph.D., Associate Professor
Director of Graduate Admissions
Princeton Neuroscience Institute
Princeton University
3-S-19 Green Hall, Princeton, NJ 08540
matthewb[at]princeton[dot]edu
Phone: (609) 258-1280  Fax: (609) 258-1113
----------------------------------------------------------------------

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20121106/846fc496/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Princeton_Neuroscience_PhD.pdf
Type: application/pdf
Size: 892775 bytes
Desc: Princeton_Neuroscience_PhD.pdf
URL: <https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20121106/846fc496/attachment-0001.pdf>