Engineer-Scientist Fellow for Distributed Mixed-Agent Systems' State Estimation
Adelphi, MD

About $63,000 - $83,000 a year

EducationSkills
Organization CCDC Army Research Laboratory
Reference Code ARL-R-SEDD-1999933076
Description
About the Research

ARL requires one engineering research scientist/engineer fellow to research in “Continuous Monitoring of Soldier Variability for Continuously Adaptive Technologies” to enable real-world, physiological monitoring of Soldiers as individuals and small groups working with intelligent systems in complex military relevant environments to enable dynamic interactions depending upon current capabilities. Specifically, the opportunity will develop novel theories, develop experiments to validate, and hardware to implement solutions to the problem of:

Given a set of distributed, heterogeneous agents each with their own sensing modalities, how do we 1) develop individual node state estimation algorithms, 2) distribute that algorithm to individual sensor nodes across the agent, and 3) distribute the state estimation across the heterogeneous agent mix to generate a robust, resilient state estimate at the individual level and the group level?

This person will be expected to collaborate with others to collect longitudinal human subjects research data; analyze that data and develop novel technologies and theories. This person will be expected to publish first author efforts in peer reviewed literature; contribute technically to peer reviewed literature in diverse areas within and outside of the team; and, develop experimental and transition efforts across the team. This opportunity will involve a mix of skill sets ranging including developing theories supporting distributed state estimation and validating those theories in hardware. This project is expected to do research fluidly in Linux, ROS, Matlab, C/C++.

Required Skills and Knowledge:
  • Experience with generating mathematical sensor models involving complex systems, including but not limited to the ability to determine calibration methodologies for physiological (and other) sensor modalities
  • Strong familiarity with the mathematics of fusion algorithms for either autonomous applications or physiological monitoring; and, the ability/willingness to learn the other.
  • A thorough understanding of deterministic, non-linear controls as well as non-deterministic methods (fuzzy, Bayesian, etc). Liner-algebra and online observers.
  • Fluency in C++, python, Java, and other languages commonly used for data science
  • Familiarity and experience with prototyping in MATLAB and data collection using LabView. And, fluency in Linux and Windows development environments.
  • Good communication and presentation skills, and a proven track record of peer-reviewed publications.
Desired Skills and Knowledge:
  • Familiarity with Robot Operating System (ROS), Apache Thrift, Lightweight Communications and Marshalling (LCM), or other commonly used transport protocols for distributed and embedded computing environments
  • Experience with generating mathematical sensor models involving complex systems
  • Experience with implementing and testing novel multi-sensor fusion and state estimation algorithms for robotics
  • Familiarity with Operator Theory.
  • Familiarity with IRB procedures and current CITI training.
  • Proficiency with integrated development environments, revision management systems such as Git/svn, and other tools for building large applications
  • Understanding of, and experience programing and integrating embedded systems.
  • Hands on experience with various robotic platforms and/or wearable sensor systems.
  • Experience with implementing and testing multi-sensor fusion and state estimation algorithms for robotics.
  • Practical understanding of experimental statistics including statistical experiment design, data analysis, validation and verification.
ARL Advisor: William D Nothwang

ARL Advisor Email: william.d.nothwang.civ@mail.mil

About SEDD

The Sensors and Electron Devices Directorate (SEDD) is the Army’s principal center for research and development in the exploration and exploitation of the electromagnetic spectrum, which includes radio frequency, microwave, millimeter-wave, infrared (IR), visible, and audio regions. SEDD is responsible for advances in laser sources, RF sources, IR sensors, signature detection and decoding, target imaging and its interpretation, fusion of data derived from several sensors, and electromagnetic protection.

In addition, SEDD is responsible for improving the technology base for electron devices and materials related to sensors and power devices. Research is conducted in related aspects of physics, electrical engineering, computer science, solid-state physics, chemical engineering, material sciences, and electrochemistry.

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 CCDC Army 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.org

Eligibility Requirements
Degree: Doctoral Degree received within the last 60 month(s).

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