Hiring: Broad SOW for ORAU Researchers in DEVCOM ARL Flight Sciences Branch Company: ORAU Location: Aberdeen, MD Job Posted Time: 2026-09-16 18:06:38 Target Skills & Keywords : C, Flink, Make, Objective-C, R, Rocket, Vite About the job Required Skills: •DEVCOM Army Research Laboratory (ARL) Flight Sciences Branch (FSB) is soliciting researchers to contribute to our ongoing research in aeroballistics and its application to guided and unguided Army munitions. •As an overview, our Flight Dynamics and Control research area involves the study of the response of a munition to aerodynamic forces and moments, and how to control them to increase range, evade counterfire, and to hit targets with high accuracy. For unguided flight, research involves detailed study of stability, drag, and delivery errors related to fire control, aim, jump, and dispersion. For guided flight, research involves control actuation systems (CASs) that drive maneuver surfaces such as fins and canards. Maneuver research also involves rocket techniques such as thrust vectoring. This also involves research in advanced control to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight environments. Flight Dynamics and Control research makes significant usage of 6-DOF guided flight models to connect component flight, control, and sensor models and understand their performance as a system. Hardware-in-the-loop (HIL) is used to study prototype CASs, developmental control algorithms, and their ability to provide the required maneuvers throughout the flight envelope. Coupled CFD/RBD models are used to understand and develop models of the flight of complex projectiles, particularly in cases of unsteady flow conditions. •In line with the above research, there has been a recent drive to increase autonomy in Army weapon vehicles requiring an additional level of decision-making in flight control computing tasks. This specific project will investigate novel methods of using intelligent control to achieve autonomous abilities necessary for weapon-target assignment, such as path planning, cooperative networking, and fault-tolerance. In addition, a simulation environment will be developed to implement and showcase the novel control methods. •Research Advisors: •Benjamin Gruenwald •benjamin.c.gruenwald.civ@arm Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!