Technical and Professional Summer Internships - Undergraduate Students
The Oak Ridge National Laboratory Undergraduate Student Opportunities program provides opportunities for undergraduates engage with ORNL projects, to connect with ORNL researchers, and join associated activities for undergraduate students. The program is designed to complement academic programs by utilizing the unique resources and mentorship from world-class scientists of Oak Ridge National Laboratory to enhance science, mathematics, engineering, and technology education; encourage careers in science and technology; and improve scientific literacy.
For more information, contact ORNL-USO@orise.orau.gov.
Scientific discovery is a team effort. Technical and business professionals support achievements in science and technology by helping to manage and operate research projects and facilities. As the largest US Department of Energy science and energy laboratory, ORNL is a great place to gain experience in information technology, facilities and operations, human resources, legal counsel, communications, finance, health services, and other professional fields.
Program Details
- Up to ten week summer internship
- Full-time participation (40 hours/week)
- Appointments will start on Monday, June 21, 2021. Dates for individual appointments may be flexible to account for academic calendars and trimester schedules.
- Fully virtual / remote educational experience
Stipend
Participants receive a biweekly stipend based on their educational level. Stipend payments are taxable as an educational benefit. There will be a delay after starting before you receive your fist stipend. You should be prepared to cover all personal expenses for the first 30 days of your appointment.
- Dislocation allowance: $1,500 one-time payment for a 10 week appointment, deposited near the beginning of the appointment. Housing allowances are paid to offset the costs associated with housing and other living expenses.
- Current undergraduate student stipend: $1,200 stipend per biweekly period.
Communications
- Media Relations: The Communications Office has a project involving internal employee communications and external media relations. The selected student will learn about digital media and community engagement. The ideal candidate will have a background in science writing, journalism, public relations, or communications.
Computing and Computational Sciences
- HPC Bottleneck Prediction: This high-performance computing (HPC) project focuses on the widening gap between processor and disk performance gives rise to I/O bottlenecks which heavily impact the overall performance of the applications. Using machine learning tools, we can try to predict I/O patterns on the storage system that will allow intelligent job scheduling and alleviate some of the I/O bottleneck caused due to I/O contention. The selected student will have an opportunity to learn about the HPC storage system on Summit, and apply machine learning techniques on real HPC workload I/O logs generated from Darshan, an I/O characterization tool. The ideal candidate will have experience with machine learning, with interest in HPC or computer systems.
Geospatial Science and Human Security
- Big Data & Visualization: The Geospatial Science and Human Security Directorate has a project focused on big data, analytics, and visualization. The selected student will learn about analytics and visualization in grid domain. The ideal candidate will have basic programming skills, perhaps with some experience with machine learning and data science.
Isotope Science and Engineering
- Fluid Dynamics: The Enrichment Science and Engineering Division's Modeling and Data Science Group has a project focuses on computational fluid dynamics. The selected student will explore ways to better inform the meshing requirements needed for these types of problems, using ORNL and commercial software for mesh adaptation. The ideal candidate may have a background in aerospace, mechanical, or a related engineering discipline.
National Security Sciences
- Project EAGLE: The National Securities Sciences Directorate has an opportunity for a student to connect with Project EAGLE, a partnership with the Air Force Research Lab Munitions Directorate to create more secure, fault-tolerant autonomous flight systems for military applications through software-based accuracy checking. The selected student will learn to use artificial intelligence and physics-based models to ensure a proper flight state and detect potential manipulation or malfunction in flight guidance systems. The student may contribute in the creation of potential software-based detection models that interface with the onboard data bus to determine system state and confirm the accuracy of the data. The ideal candidate will have a background in computer science/engineering or mathematics, with experience with machine learning / neural networks.
Eligibility Requirements
- Citizenship: LPR or U.S. Citizen
- Degree: Currently pursuing an Associate's Degree or Bachelor's Degree.
- Overall GPA: 3.00
- Age: Must be 18 years of age
- Discipline: Any