Scientist/Engineer: Distributed Systems State Estimation

ORAU; Adelphi (MD); On-site; USD 80,000 - 100,000; Full time

Job summary

ORAU is looking for a researcher to advance navigation, localization, and small scale autonomous systems with a focus on distributed state estimation. You will contribute to hardware engineering and information fusion in uncertain environments.

The ideal candidate should have a Ph.D. and be skilled in control systems, C/C++, and control theory. Responsibilities include leading research, publishing papers, and collaborating with multidisciplinary teams.

Qualifications

• Recent graduate or holder of a Ph.D. with strong theoretical knowledge.
• Experience in distributed state estimation and control theory.
• Proficiency in deploying research on real hardware.

Responsibilities

• Lead independent research efforts on distributed state estimation.
• Publish peer-reviewed papers and contribute to technical literature.
• Develop and validate theories using simulation and hardware.
• Collaborate across teams to integrate controls and hardware solutions.

Skills

Distributed state estimation

Control theory

Experimental validation

Linux

ROS

MATLAB

C/C++

Education

Ph.D. in control systems, engineering, computer science, material science, mathematics, physics or related

Job description

Overview

The Army Research Laboratory’s Electronics for Sense and Control (ESC) seeks to enable revolutionary advances in navigation and localization, small scale autonomous systems, and human physiological state monitoring. The role involves contributing across these research spaces, developing distributed state estimation methodologies, control integration, and hardware engineering to create a framework for information acquisition and fusion in uncertain environments.

Organization

DEVCOM Army Research Laboratory

Responsibilities

• Lead independent research efforts on distributed state estimation and hardware validation.
• Publish first‑author peer‑reviewed papers and contribute to the team’s technical literature.
• Develop and validate theories in simulation and hardware, using Linux, ROS, MATLAB, and C/C++.
• Collaborate across multidisciplinary teams to integrate controls and hardware solutions.

Qualifications

• Recent graduate or holder of a Ph.D. in control systems, electrical/machine/mechanical engineering, computer science, material science, mathematics, physics or a related discipline.
• Experience in distributed state estimation, control theory, and experimental validation.
• Proficiency with Linux, ROS, MATLAB, C/C++ and ability to deploy research on real hardware.
• Strong publication record and ability to drive research from concept to experiment.

Eligibility & EEO

All eligible applicants including veterans, wounded warriors, and those with non‑traditional education are encouraged to apply.