IBM Research: Theoretical/Computational Neuroscience
Posted: Wed Jun 13, 2012 11:20 am
The IBM T.J. Watson Research Center (Yorktown Heights, NY) is seeking a researcher having strong interest and extensive experience in theoretical & computational neural science and brain modeling, for a Research Staff Member position. Familiarity with information theory and a strong background in statistical physics are also desirable.
IBM Watson Research has a long tradition and strong presence in computational sciences and excellent computing facilities such as the BlueGene Supercomputer Center. Our current interests and expertise in computational neuroscience include: biologically realistic neuronal and network modeling, with external experimental collaboration; fMRI analysis for understanding of brain function & disease states; analysis of biological networks using statistical physics methods; and biologically-inspired deep learning using Bayesian inference and information-theoretic approaches.
The successful candidate is expected to pursue independent research of world class quality in theoretical/computational neuroscience directed at understanding information processing in the brain, and to work with other IBM researchers to explore new brain-inspired computing paradigms and brain-computer interfaces.
To apply, please visit https://jobs3.netmedia1.com/cp/job_summ ... ES-0491538
Please contact us directly (below) if you have any questions regarding this position.
The neuroscience search committee:
- Yuhai Tu (yuhai@us.ibm.com)
- Roger Traub (rtraub@us.ibm.com)
- Ralph Linsker (linsker@us.ibm.com)
- Guillermo Cecchi (gcecchi@us.ibm.com)
- Mark Ritter (mritter@us.ibm.com)
IBM Watson Research has a long tradition and strong presence in computational sciences and excellent computing facilities such as the BlueGene Supercomputer Center. Our current interests and expertise in computational neuroscience include: biologically realistic neuronal and network modeling, with external experimental collaboration; fMRI analysis for understanding of brain function & disease states; analysis of biological networks using statistical physics methods; and biologically-inspired deep learning using Bayesian inference and information-theoretic approaches.
The successful candidate is expected to pursue independent research of world class quality in theoretical/computational neuroscience directed at understanding information processing in the brain, and to work with other IBM researchers to explore new brain-inspired computing paradigms and brain-computer interfaces.
To apply, please visit https://jobs3.netmedia1.com/cp/job_summ ... ES-0491538
Please contact us directly (below) if you have any questions regarding this position.
The neuroscience search committee:
- Yuhai Tu (yuhai@us.ibm.com)
- Roger Traub (rtraub@us.ibm.com)
- Ralph Linsker (linsker@us.ibm.com)
- Guillermo Cecchi (gcecchi@us.ibm.com)
- Mark Ritter (mritter@us.ibm.com)