Research Aide - LCF - Pang, Ilyan - 2.25.26.
About The Position
This summer research project explores how immersive augmented and virtual reality (A/VR) environments and digital twin technologies can be used to safely and effectively operate robots in self-driving laboratories. Students will help develop general, reusable interfaces that connect robotic systems, their digital twins, and immersive environments, moving beyond today’s bespoke solutions. The project investigates best practices for integrating A/VR with robotics, focusing on challenges such as latency, representation, resolution, usability, and safety. Using Argonne’s rapid prototyping laboratory, the work combines human-operated laboratory tasks, AI model training with transfer learning, and real-time digital twin data handling to improve process optimization and risk awareness. The outcome will provide practical tools and insights that advance the safety, efficiency, and educational value of AI-enabled scientific laboratories.
Requirements
- The entirety of the appointment must be conducted within the United States.
- Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution.
- Must be 18 years or older at the time the appointment begins.
- Must possess a cumulative GPA of 3.0 on a 4.0 scale.
- If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
- Must complete a satisfactory background check.
Benefits
- comprehensive benefits are part of the total rewards package.
- Click here to view Argonne employee benefits!
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
