Are you interested in acquiring the computational skills necessary to enter the tech workforce? This unique opportunity includes training to access cutting-edge computing resources, workplace readiness training, and team-building opportunities.
Cohort 5 Internship Dates: March 2026 – July 2026
Contingent on funding, the next round of applications for the NSF Leadership Class Computing Facility Internship will most likely open at the end of 2026 or in 2027. To receive future application announcements, please complete our program interest form.
Candidates will apply via an online application system: NSF ETAP – requires the creation of an account through research.gov if one does not already exist.
The United States (U.S.) National Science Foundation (NSF) LCCF Internship Program led by the Texas Advanced Computing Center (TACC) at The University of Texas at Austin is designed to expand educational pathways for ANYONE with a passion for learning and contributing to innovative projects that advance science and society. The following positions are available:
Open to anyone, including adults considering a career change, individuals looking for part-time or full-time employment, undergraduates at both 2-year and 4-year higher education institutions, and post-graduates. Applications will only be accepted from individuals studying or working in the U.S. or its territories.
If you are not sure you’re 100% qualified, but are up for the challenge, we want you to apply. We believe skills are transferable and passion for our mission goes a long way. For more information contact staff at lccf-interns@tacc.utexas.edu.
The descriptions outline potential projects for the LCCF Internship Program. However, please note that they may not represent the projects available for the specific cohort to which you are applying. Interns will be matched with mentors based on their backgrounds, interests, and the project requirements.
Let us know if you have any questions and/or need additional information.
This position focuses on building a dashboard to manage and visualize data from TACC’s education and outreach programs. Interns will assist in gathering requirements, designing features, and exploring data storytelling techniques. They will gain experience in software development, data management, and tools such as Python, Dash, D3.js, and JavaScript.
This position offers hands-on experience in supporting high-performance computing (HPC) systems. Interns will assist in maintaining cluster hardware, monitoring system health, and supporting nodes that run the Linux operating system. They will acquire foundational knowledge of Linux, HPC architecture, and networking technologies such as Ethernet, Infiniband, and OmniPath.
This position provides the opportunity to strengthen skills in programming, version control, containerization, working with large data sets, working in a research computing environment, communicating with a wide range of audiences, and working collaboratively.
This position provides hands-on experience in supporting software tools for biomedical research. Interns will assist in developing and testing workflows, integrating applications with APIs, and writing documentation. They will acquire practical skills in software development, research computing, and tools such as Git, GitHub Actions, and Docker.
This position supports a national research project focused on understanding pain and its development over time. Interns will assist in extracting, organizing, and cleaning medical research data using tools such as Python and databases, ensuring accuracy and adherence to required formats. They will gain hands-on experience working with data, writing simple code, and utilizing standard tools to support research while learning how information flows through real-world scientific projects.
This position supports the EpiEngage Pandemic Simulator and Jetstream2 training projects through roles in product management and UI/UX design. Interns will gather stakeholder feedback, create wireframes, and help guide dashboard design using tools like Figma. They may also assist with coding and developing training materials. The role offers experience in project management, user research, interface design, and tools such as React, Python, Docker, and HTML/CSS.
The position offers the opportunity to join and participate in an agile team. After learning the fundamentals of Python, Bash, Git, Docker, and Natural Language Processing (NLP), the intern will develop tools for classifying research and allocation proposals. The intern may also support the TRAM team in creating a new project and allocation management web application.
This position offers the opportunity to assist with the research, design, and implementation of a Natural Language Processing (NLP) model based on TACC documentation and user interactions. The model will provide 24-hour user support for HPC applications. The intern will learn how to clean and curate data, train an NLP model, understand its framework, and implement it into a large-scale system for round-the-clock user support.
This position offers an opportunity to assist the visualization team in developing interactive and immersive applications for the LCCF Visitor Center, which will begin construction in 2025. The intern will work with scientific data generated by researchers using TACC systems and help create applications that display and analyze this data using cutting-edge visualization technologies.
This position allows individuals to gain hands-on experience by being embedded with teams that conduct scientific research and software development while contributing to impactful projects.
These answers to frequently asked questions will aid candidates in preparing their applications for the LCCF Internship Program.
If you are selected as an intern with the LCCF Internship Program at TACC, this could impact your financial aid award. As visiting scholars at The University of Texas at Austin, NSF LCCF Interns receive participant support in the form of a scholarship. When accepted, please contact the UT Financial Aid Office to discuss how, if at all, receiving the stipend may affect your financial aid award.
Yes; we only require you be enrolled at a U.S. institution and be studying in the U.S. or its territories.
It is important to note two key factors for international students:
We will contact you using the email address you provided. Please be sure to provide an email that you will be able to check during the time that decisions will be made. If we do not hear back from you in the allotted time, we will give your internship to an alternate candidate.
No. Individual feedback will not be given to applicants.
We expect to select six interns per cohort.
Yes, you may reapply for each cohort of the program.
If you have a question that is not answered here, please email us lccf-interns@tacc.utexas.edu.
This program is funded by the U.S. National Science Foundation Award #2323116.
