Real-world Neuroimaging Technologies
at ORAU Workforce Solutions

Date Posted: 7/7/2019

Opportunity Description

Basic science research is needed to address critical knowledge gaps underlying efforts to seamlessly integrate humans and advanced technology for future military and civilian applications. Broad needs defined within this problem space demand high-quality, complex experimentation combined with advanced quantitative analysis and modeling of human brain-body states and their dynamics in simulated and actual (real-world) operational contexts. More specifically, the Real-World Neuroimaging program at the U.S. Army Research Laboratory (ARL) has 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. Primary location is at ARL at Aberdeen Proving Ground, MD, but could involve travel to partner universities. We seek a Research Associate to assist with all aspects of the process from designing and executing experiments to publishing and presenting findings. Applicants must have earned a doctoral degree (Ph.D.) in Cognitive Science, Psychology, Neuroscience, Biomedical Engineering, Human Factors, Bioinformatics, or a closely related discipline. A strong preference is afforded to candidates capable of independent, end-to-end data analysis including acquisition, signal conditioning and data reduction, visualization, and statistical analysis and/or quantitative modeling. Substantial high-level programming experience (i.e. MATLAB, Python, C/C++, R), is heavily preferred. Candidates should demonstrate a strong scientific background with examples of recent high-quality first-author presentations and writing. Strong candidates will have already successfully published (or had work accepted for publication) in one or more peer-reviewed journals.

Opportunity Snapshot

About Us

Grooming future leaders in science and technology requires enhancing the skills, knowledge and experience of workers early in their careers. To that end, ORAU (Oak Ridge Associated Universities) assists in connecting the best and most diverse students, recent graduates, faculty and professionals with world-class fellowships, internships and jobs, whether in national laboratories, research institutions, federal government offices or private sector R&D departments.

ORAU works with agencies such as the U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. We work with the Environmental Protection Agency (EPA) to place recent graduates in full-time and part-time jobs in the Office of Research and Development at EPA under the National Student Services Contract. ORAU also works with Center for Medicare and Medicaid Innovation.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, Toxicology, and more.

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