[Comp-neuro] Postdoctoral position in computational neuroscience and artificial intelligence

[Maxim Bazhenov]

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
http://www.bazhlab.ucsd.edu/

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