Navigation and Locomotor Control in Augmented Reality
PI’s: Noah Cowan & James Knierim, Johns Hopkins University
The Cowan and Knierim laboratories have multiple funded projects from NIH and DOD investigating the neural computations that underlie navigation in the physical world. We are using a novel augmented reality apparatus and multi-electrode neural recordings of place cells, grid cells, head direction cells, and other cell types of the hippocampus and related brain regions to reverse engineer the interplay between navigation and locomotor control in freely behaving animals (see https://limbs.lcsr.jhu.edu/ and http://sites.krieger.jhu.edu/knierim-lab/). We are seeking dynamic and ambitious postdoctoral candidates who are highly skilled in experimental research in potentially diverse areas (e.g. biomechanics, neuroscience, robotics, control systems, or physics). The ideal candidate will also have a strong computational background (e.g. dynamical systems, information theory, control theory) and/or strong data analysis skills (e.g. statistical methods, data mining, Bayesian filtering, spectral analysis, machine learning).
Qualifications: PhD in Engineering, Neuroscience, Biology, Physics, Computer Science, or related fields. Strong computational and experimental background a must.
How to apply: Interested applicants should send a single PDF including a brief (1 page) cover letter, CV (no more than 4 pages, including a list of 3 references), and up to two papers to firstname.lastname@example.org