Research fellows in real-world neuroimaging

Hi folks.
We have several unique opportunities at the U.S. Army Research Laboratory for potential post-docs and pre-docs within the area of "real-world neuroimaging".
The overall focus of this research group is developing technologies and methods which enable doing neuroimaging in more real-world scenarios (e.g. while walking, driving, jumping around, use your imagination) than traditional lab contexts.
Work is basic research, but has a focus on translational applications and a close tie to things like brian-computer interactive technologies.

In particular in the near future, we are looking for folks who are interested in working on better ways for validating and assessing EEG system fidelity, such as developing and using EEG "phantoms" and other comparative techniques, and identifying and seperating sources of noise in recordings.
Additionally we have an ongoing program on developing novel materials for EEG electrodes - dry polymer highly deformable materials with tuneable conductance properties; we are looking for somebody interested in carrying out experimentation using polymer electrodes and other cool DAQ hardware.

The ad below is a copy of a standard ad and is focused on post-doctoral positions, however we can entertain pre-doctoral candidates with the right interest and backgrounds. Positions are contracted through ORISE and ORAU.

Note, although ARL falls under the US .Dept of the Army, these are contract positions and open to anyone. You do not have to worry about a uniform!
Here are some related press pieces
http://www.army.mil/article/158601/EEG_may_someday_boost_Soldiers__cognitive_ability/
http://www.army.mil/article/158604/_Phantom_head__may_one_day_take_guesswork_out_of_EEG_monitoring/

Hit me up w/ any questions...

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Research Opportunities

The Real-World Neuroimaging program at the U.S. Army Research
Laboratory (ARL) is looking for Research Associates to work on the following
areas, with the goal of furthering our understanding of how laboratory-based
research findings in human performance translate to real-world situations:

Real-world neuroimaging technologies at ARL
represents developing and executing experimental research which furthers our ability
to assess brain activity as it occurs within real-world settings, where
neuroimaging conditions are less than ideal and often target cognitive states
which are elusive in traditional laboratory scenarios. Example topic areas
include: 1) development and testing of novel neuroimaging hardware, such as
dry, non-metallic, highly flexible sensors for EEG, ultra-low-power system
design, and custom-adaptive cap design; 2) Development and use of novel methods
and tools for assessing data quality, such as EEG “phantoms” and new analytical
comparison techniques; 3) Novel software algorithms for dealing with motion
artifacts, improving data SNR, and improving interpretation of noisy data; and
4) methods for displaying and interpreting EEG data in real-time.

We seek a Research Associate to assist with all aspects of
the process from designing and executing experiments to publishing and
presenting findings.

The Associate should have:

• U.S. citizenship with a Ph.D. in psychology, cognitive neuroscience,
  engineering, or related field and an interest in applying neuroscience theory and methodology in applied settings. 
• Interest in signal processing and conducting laboratory experiments.
• Experience serving as primary- and co-author on peer-reviewed scientific publications.
• An affinity for working in a collaborative environments with other scientists,
  engineers, and software developers.
• Applicants must have some experience with programming and data analysis software (e.g. MATLAB, Python, SPSS, C++, R, etc).

Applicants should send a CV, statement of research background and interests and the names of three references to:           

W. David Hairston

Real-world Soldier Quantification Branch

Human Research and Engineering Directorate

U.S. Army Research Laboratory

Aberdeen Proving Ground, MD 21005

(410) 278-5925

[email protected]

 

Start date: flexible

Limit of tenure: 2 years with a possible 1 year extension

Salary range: $60k to $75k, plus health insurance and travel for research related purposes