NIAR Automation Student Assistant
As a member of our Robotics and Automation group, you will be responsible for developing and designing automated systems for industrial applications. Our team conducts research and design for a diverse range of clients and is dedicated to advancing the field of intelligent manufacturing processes. Examples include systems developed to preform, automated inspection, robotic processing, automated damage repair. Along side developing these systems, you will be responsible for enabling digital twin technologies through simulation, verification, and closed loop sustainment.
To be eligible for this position, applicants must be able to work with EAR or ITAR controlled technologies and meet U.S. export control laws, including being a "U.S. Citizen." All information collected in this regard will only be used to ensure compliance with U.S. export control laws. Our group does not discriminate in hiring practices and will comply with all federal and state laws in the collection and review of any information collected.
While the Robotics and Automation group can range from software development, to design, to fabrication, to controls, we welcome applicants of any major or academic standing. This is an excellent opportunity to gain hands-on experience in the field of automation and work on cutting-edge technologies with a dynamic team.
• Pursuing a Bachelor’s or Master’s degree.
• Enthusiastic and willing to learn from a variety of specialist in the field of intelligent manufacturing.
• Must be able to work a minimum of 20 hours a week.
• Ability to work well in a team environment and effectively communicate ideas and solutions.
• Self-motivated and able to work without constant supervision.
• Ability to lift and carry up to 25lbs
• Basic understanding of advanced materials, manufacturing processes, and an interest in it as a potential career.
• Working knowledge of programming languages such as VBA, C+, and MATLAB.
• Ability to work with CATIA, Siemens NX, or other CAD/CAM packages.
• Ability to work with and understand complex systems.