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DEVCOM Army Research Laboratory

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Broad SOW for ORAU Researchers in DEVCOM ARL Flight Sciences Branch DEVCOM Army Research Laboratory in United States

Degree Level

Master's, Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

DEVCOM Army Research Laboratory

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Aerospace Engineering
Mathematics
Fault Tolerance
Flight Dynamics
Path Planning
Cooperative Networking
Control System
Physics

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About this position

The DEVCOM Army Research Laboratory Flight Sciences Branch is seeking researchers to contribute to ongoing work in aeroballistics and the control of guided and unguided Army munitions. The opening is centered on flight dynamics and control, with emphasis on understanding how munitions respond to aerodynamic forces and moments and how those responses can be shaped to improve range, accuracy, and survivability in flight.

The research scope spans both unguided and guided flight. On the unguided side, the branch studies stability, drag, and delivery errors related to fire control, aim, jump, and dispersion. On the guided side, the work addresses control actuation systems for fins and canards, as well as rocket-based maneuver methods such as thrust vectoring. The project also extends to advanced control approaches that help Army projectiles maneuver effectively when state information, control authority, and flight conditions are limited or changing.

A major part of the research environment is the use of 6-DOF guided flight models to connect component flight, control, and sensor models into a system-level understanding. The branch also uses hardware-in-the-loop methods to evaluate prototype control actuation systems and developmental control algorithms across the flight envelope. In addition, coupled CFD/RBD modeling supports analysis of complex projectile flight, especially under unsteady flow conditions.

The specific project described in the advert focuses on increasing autonomy in Army weapon vehicles through intelligent control methods. The work will investigate decision-making capabilities for weapon-target assignment, including path planning, cooperative networking, and fault tolerance, and will develop a simulation environment to implement and demonstrate the proposed control methods.

Research advisors named in the advert are Benjamin Gruenwald and Joshua Bryson at ARL.

Funding details

Available

What's required

Citizenship must be U.S. citizen only. Applicants must hold a master's degree or doctoral degree, with academic level eligibility including master's degree, master's degree plus 7+ years, doctoral degree (postdoctoral fellow), or doctoral degree plus 5+ years. Applications must include a CV or resume, relevant coursework and lab experience, papers/presentations/publications if available, three reference forms, transcripts verifying degree receipt or current enrollment in an accredited undergraduate or graduate program, and a research proposal related to a specific opportunity at ARL with a clear objective, defined outcome, planned direction, expected completion period, and brief background/preparation.

How to apply

Submit the application in Zintellect. Upload a CV or resume, coursework and lab experience, publications or reprints if available, three references, transcripts, and a research proposal. After completing the online application, send the Zintellect reference-form link to your chosen referees.

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