Responsibilities:
A position is established for an individual interested in contributing to applied research for decision systems, with an emphasis on task and motion planning, modeling and control of complex dynamic systems and optimization for a variety of autonomous vehicle systems. The candidate will work collaboratively on cutting-edge efforts for US government and commercial customers. Areas of work include autonomous aerial vehicles, autonomous underwater vehicles, and other decision-making frameworks. The ideal candidate is an assertive self-starter, engaging colleagues and contributing to ideas in a team-centered environment.
Job Description:
Duties/Responsibilities
Design, develop, and enhancement engineering solutions for challenging problems.
Implement, test, perform analysis, and provide documentation support.
Generate and present test reports including plots, tables, evaluation criteria, and conclusions from data collected and analyzed throughout the test process.
Complete assignments designed to develop a practical knowledge of processes, procedures, equipment, facilities, and systems as well as their interrelationships within engineering disciplines.
Performs other duties as assigned.
Program Requirements
Enrolled in an accredited full-time undergraduate or graduate degree program required.
There is flexibility regarding hours and program duration based on applicant’s school schedule and availability.
Skills/Abilities
Excellent written and oral communication skills.
Excellent work ethic with the ability to work independently or in a team environment.
Ability to adapt to ever-changing environments, risks, and vulnerabilities.
Strong computer skills including MS Word, PowerPoint and Excel.
Additional Job Description:
Qualifications
Students should be pursuing a degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related technical fields.
Prefer candidates with hardware and software experience, strong collaboration skills, and strong presentation skills.
Preferred candidate will have an interest and relevant experience in robotic research in motion planning and task planning.
Prefer candidates with programming experience (e.g., C/C++, Python, MATLAB)