[Comp-neuro] Postdoctoral position in computational neuroscience and artificial intelligence
bazhenov at salk.edu
Fri May 10 03:54:45 CEST 2019
Applications are invited for post-doctoral research position in the
laboratory of Dr. Maxim Bazhenov at the University of California, San
Diego to study memory and learning and to develop neuroscience inspired
algorithms capable of continual learning, generalization of knowledge
and adaptation to the novel situations and contexts.This project
involves close collaboration with the experimental laboratory of Dr.
Bruce McNaughton. The ultimate goal of the work is to advance the
knowledge of how human and animal brains learn from experience and apply
these principles to the artificial systems to enable continuous learning
without catastrophic forgetting.
The successful candidate will collaborate with a team of researchers to
design anatomically realistic neuronal network models of dynamic
interactions between the hippocampus and neocortex during learning and
memory consolidation in sleep and awake based on experimental data. An
ideal candidate should have experience in computational/theoretical
neuroscience and a basic knowledge of machine learning. Experience with
hierarchical learning, reinforcement learning, and/or goal-directed
decision-making would be particularly helpful.
The University of California offers excellent benefits. Salary is based
on research experience. Applicants should send a brief statement of
research interests, a CV and the names of three references to Maxim
Bazhenov at mbazhenov at ucsd.edu
Maxim Bazhenov, Ph.D.
Professor, Department of Medicine,
Neurosciences Graduate Program,
UCSD, School of Medicine
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