Machine Learning State Estimation and Decision Propagation

About the Research

ARL requires one full time engineering research scientist/engineer for a post‑doctoral fellowship to support a program in Network of Networks to enable novel methods for agent learning, adaptation, and model distribution in highly heterogeneous environments where humans are coupled to machine decision agents. Specifically, the opportunity will develop novel theories, design experiments to validate, and hardware to implement solutions to the problem of:

Recent graduate with a PhD in control systems, electrical, mechanical engineering, computer science, material science, mathematics, physics or other appropriate discipline.

This person will be expected to lead their own research efforts but participate within a highly collaborative research group. They will be expected to publish first‑author work 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. The project will involve a mix of skill sets ranging from a deep understanding of various machine learning, transfer and reinforcement learning techniques, developing theories supporting multi‑agent learning, to transferring learned behavior across heterogeneous agents.

The project is expected to be conducted fluidly in Python, Linux, ROS, MATLAB, C/C++.

DEVCOM Army Research Laboratory

ARL‑R‑SEDD‑

The Sensors and Electronic 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 electronic 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, materials sciences, and electrochemistry.

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.

• Degree:
  Doctoral Degree received within the last 60 month(s).
• Academic Level(s):
  Any academic level.
• Discipline(s):
  • Chemistry and Materials Sciences
    • Analytical Chemistry
    • Bio‑inorganic Chemistry
    • Bio‑organic Chemistry
    • Biophysical Chemistry
    • Chemistry (General)
    • Environmental Chemistry
    • Inorganic Chemistry
    • Materials Sciences
    • Organic Chemistry
    • Physical Chemistry
    • Polymer Chemistry
    • Theoretical Chemistry
  • Communications and Graphics Design
  • Computer, Information, and Data Sciences
  • Engineering
  • Environmental and Marine Sciences
  • Life Health and Medical Sciences
  • Mathematics and Statistics
  • Other Non‑Science & Engineering
  • Physics
  • Science & Engineering‑related
  • Social and Behavioral Sciences
• Age:
  Must be 18 years of age

ARL‑RAP

Please email ARLFellowship

Joseph Conroy

Email: joseph.k.conroy
3.civ