Multi-modal, multi-resolution, multi-source state
at ORAU Workforce Solutions

Date Posted: 1/28/2019

Opportunity Description

Multi-Modal, Multi-Resolution, Multi-Source State Classification and Prediction The aim of this research is to develop computational methods to estimate and model a person’s state, (which may consist of their affective, psychological, physiological state, or their gestures and actions), from a set of sensor data about that person. This research is also aimed at predicting a person’s next state given their current one and the set of sensor information about them. Research opportunities exist in the following areas: o Modeling the correlations between different output states o Integration or fusion of sensor data from multiple sources measuring different modalities of information operating at multiple time scales o Processing sensor data of the autonomic and central nervous system in non-stationary settings o Real-time classification of streaming multimodal sensor data o State prediction from multimodal sensor data o Biologically inspired methods for pattern recognition and discrimination o Modeling cross modality interactions This research project will combine many fields of study, including, machine classification, EEG/ERP processing, EKG/ICG processing, gesture recognition, neuromorphic computing, and signal processing. Associates with experience in or more fields are preferred. Interested candidates should contact Dr. Harrison prior to submitting a research proposal. Keywords: machine learning, wearable sensing, IoT, sensor integration, sensor fusion, electromyography, electroencephalography, electrocardiogram, impedance cardiography, supervised learning, perception, understanding, real-time processing, Electrical Engineering, Biomedical engineering, Cognitive Science, Information Science, Neuroscience, Computer Science, Intelligent Systems Click here to apply online

Opportunity Snapshot

  • Employee Type: Full-Time
  • Location: Adelphi, MD
  • Opportunity Type: Other
  • Experience: Not Specified
  • Date Posted: 1/28/2019

About Us

Oak Ridge Associated Universities (ORAU) administers Science, Technology, Engineering and Mathematics (STEM) research participation programs for civilians 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. Scientists and engineers at 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.

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, 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, and more.

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