terramechanics, computational mechanics and physically-based simulation for nuclear robotics applications
Graduate FEllowship
The mission of the Department of Energy, Office of Environmental Management’s (DOE-EM) University Programs creates and supports a sustainable career pathway that prepares a workforce of talented students to make immediate and significant contributions to DOE-EM. To achieve this mission, EM University Programs develop strategic partnerships between colleges and universities, investing in student enrichment programs, curriculum development, research efforts, and internship and post-graduate opportunities.
The Graduate Fellow will receive training in targeted technical areas outlined in various DOE-EM scope job responsibilities. The 13-month salaried fellowship will offer specialized training, leadership and professional development. Completion of this fellowship will provide hands-on and field experiences that may lead to potential career opportunities within the DOE workforce complex.
Position Summary:
This project will focus on time and motion studies and computational mechanics for excavation, mobility and transfer of Hanford nuclear waste. The nuclear waste in the Hanford tanks comes in liquid, sludge and saltcake form. This project focuses on the waste in the sludge and saltcake form. We want to have inter-active speed simulations (preferably faster than real time) that have sufficient fidelity to be useful for planning of robotic excavation of Handford tank waste, as well as for teleoperation training capabilities, simulations and generating synthetic training data. In addition, we may also be concerned with the computational mechanics of the cables and hoses used to power equipment as well as transfer material out of the tank. This work will leverage backgrounds in computational mechanics, computer graphics, robotics and machine learning/AI.
Minimum Qualifications:
- The successful candidate must be a US Citizen
- Must have graduated from or enrolled in an MSI
- Must be eligible for security clearance based on position requirements
- Enrolled in a graduate or have graduated at the time of application and have a current cumulative GPA of 3.0 on a 4.0 scale.
Desired Skills: Computational Mechanics, computer graphics, robotics, machine Learning/AI
Security Clearance Information
This position will require selected candidates to be able to obtain a DOE Security Clearance.
