Machine Learning for State Estimation and Decision Propagation

ORAU; Adelphi (MD); On-site; USD 70,000 - 90,000; Full time

Job summary

ORAU is seeking a full-time engineering research scientist/engineer for a post-doctoral fellowship focused on innovative methods for agent learning and adaptation. The candidate will lead research efforts in a collaborative environment, publishing works in peer-reviewed literature. A PhD in relevant fields and expertise in machine learning, Python, and C/C++ are essential for this role.

This opportunity offers a chance to work with a team on advanced problems in heterogeneous environments, making a significant impact in the field.

Qualifications

• Recent graduate with a PhD in a relevant field.
• Experience in machine learning and multi-agent learning techniques.
• Ability to publish first-author work in peer-reviewed literature.

Responsibilities

• Lead research efforts in agent learning and adaptation.
• Design experiments to validate new methods.
• Collaborate with a research team on diverse projects.

Skills

Machine Learning

Python

C/C++

ROS

MATLAB

Education

PhD in control systems, electrical, mechanical engineering, computer science, material science, mathematics, or physics

Job description

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:

1. Given the advances made by the Google DeepMind project (and others) how can we enable both hierarchical and deeply integrated Human‑in‑the‑Loop (HIL) reinforcement, transfer learning for heterogeneous agents, and extend these methods from simulation demonstrations to hardware‑in‑the‑loop mixed systems?

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++.

Organization

DEVCOM Army Research Laboratory

Reference Code

ARL‑R‑SEDD‑1871527378

About 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.

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.

Eligibility Requirements

• 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

Point of Contact

ARL‑RAP

Questions about this opportunity?

Please email [e-mail]

ARL Advisor

Joseph Conroy

Email: [e-mail]