Multisensory Integration and Perception
Adelphi, MD

About $74,000 - $96,000 a year

Skills
Organization
CCDC Army Research Laboratory
Reference Code
ARL-C-HRED-1386277471
Description

About the Research

The U.S. Army Research Laboratory (ARL) has research opportunities available in multisensory integration and perception. ARL seeks outstanding Associates to join a team that is advancing empirical understandings and theoretical conceptualizations of human multisensory processing. Experimental approaches focus on developing and utilizing novel technology platforms to examine new multi-sensor combinations and critical issues of multisensory integration in real-world environments. We aim to discover techniques to enable robust, versatile, closed-loop systems that improve performance throughout the sensory-perceptual-motor decision-making cycle by leveraging knowledge of human nervous system capabilities for integrating, interpreting, and utilizing information from the brain, body, behavior, and environment. Modeling efforts focus on cybernetic, systems control theory, or dynamical systems approaches to conceptualizing multisensory integration at the systems level (or higher), with an emphasis on nonlinear, adaptive, and/or dynamical models. Other relevant modeling approaches will also be considered.

The Associate will pursue well-defined objectives within the broad scope of this program, but should have the ability to do research within a multidisciplinary team that includes collaborators from wide-ranging domains, such as cognitive neuroscience, electrical engineering, computer science, and applied physics or mathematics, among others. The Associate should have a strong affinity for quantitative analysis, with experience in biosignal data collection and/or analysis recommended. Researchers having familiarity with multi-aspect data approaches are encouraged to apply, with programming skill and experience with measurement and user interface hardware and software integration desired. Computational scientists with experience in the modeling of closed-loop systems are similarly encouraged to apply, with demonstrated skill in model development, implementation, analysis, simulation, and testing, a significant plus. The Associate will collaborate with team members to design and conduct human subjects experiments, including tests of specific model predictions, integrating ideas and techniques across the foundational knowledge base of human multisensory integration.

ARL Advisor: Jeremy Gaston

ARL Advisor Email: jeremy.r.gaston.civ@mail.mil

About HRED

The Human Research and Engineering Directorate (HRED) is ARL’s principal center for research and development directed toward optimizing soldier performance and man-machine interactions. The HRED examines human performance in the perceptual, cognitive, and psychomotor domains in order to increase the body of knowledge of human capabilities and limitations, and to assess the impact of emerging technologies on soldier performance. Research is conducted on intelligent decision aids and interfaces; human control of automated systems; control display and workstation design; and MANPRINT design, analysis, and integration methods. In addition, the HRED develops unique and innovative methods, tools, models, and simulations for measuring and characterizing soldier performance.

About ARL-RAP

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDCArmy Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.

A complete application includes:
Curriculum Vitae or Resume
Three References Forms
An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference.
References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)
Transcripts
Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable

If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for :

Research topic should relate to a specific opportunity at ARL (see Research Areas)
The objective of the research topic should be clear and have a defined outcome
Explain the direction you plan to pursue
Include expected period for completing the study
Include a brief background such as preparation and motivation for the research
References of published efforts may be used to improve the proposal

A link to upload the proposal will be provided to the applicant once the advisor has made their selection.

Questions about this opportunity? Please email ARLFellowship@orau.or

Eligibility Requirements
Citizenship: U.S. Citizen Only
Degree: Doctoral Degree received within the last 60 month(s).

Discipline(s):
Computer Sciences (17 )
Earth and Geosciences (23 )
Engineering (27 )
Environmental and Marine Sciences (13 )
Life Health and Medical Sciences (47 )
Mathematics and Statistics (11 )
Nanotechnology (1 )
Other Physical Sciences (12 )
Physics (16 )
Social and Behavioral Sciences (36 )
Age: Must be 18 years of age