Publisher
source

NASA Ames Research Center

NASA Summer 2026 Internship in Uncertainty Quantification and Machine Learning NASA Langley Research Center in United States

Degree Level

not provided

Field of study

Computer Science

Funding

No explicit funding details are provided. As this is a NASA internship, it is likely to be a paid position, but stipend amount and tuition coverage are not mentioned.

Deadline

Oct 1, 2026

Country flag

Country

United States

University

NASA Ames Research Center

Suggested positions

Publisher
source

Iowa State University

Country flag

United States

Fully funded PhD positions are available in AI for Computational Science and Biomedical Systems at Iowa State University for Fall 2027 . A new faculty member in the Department of Mechanical Engineering is recruiting 1–2 PhD students for the PHASE Lab (Physics & Health via AI and Shape Emulation) . The research focus includes scientific machine learning for computational physics, AI-driven digital twins for biomedical systems, hybrid neural modeling for design and inverse problems, optimization ,...

Computer Science
Machine Learning
Biomedical Engineering
+9 more

4 months ago

Publisher
source

University of Illinois Urbana–Champaign

Country flag

United States

Ph.D. opportunity in Aerospace Engineering at the University of Illinois Urbana-Champaign for a fully funded research program on computational engineering for extreme environments . The project focuses on developing next-generation computational methods for systems operating under extreme conditions, where conventional modeling approaches struggle. Research themes include hypersonics , materials and directed energy , high-fidelity computational modeling and simulation, scientific machine learnin...

Computer Science
Machine Learning
Mechanical Engineering
+9 more

2 months ago

Publisher
source

École nationale des ponts et chaussées

Country flag

France

Fully funded masters internship with a PhD position in physics-constrained generative AI modelling at École Nationale des Ponts et Chaussées (ENPC) and Université Paris-Saclay , France. The project is hosted at CEREA, ENPC / Institut Polytechnique de Paris , in collaboration with LISN under the ANR MilaDy Project . It is aimed at students interested in the intersection of computer science , applied mathematics , physics , and fluid mechanics , with a strong emphasis on machine learning and physi...

Computer Science
Mechanical Engineering
Mathematics
+6 more

2 weeks ago

Publisher
source

University of Arizona

Country flag

United States

PhD studentship at the University of Arizona on DNS of hypersonic boundary-layer transition . The project uses high-fidelity Direct Numerical Simulations (DNS) to study stability and laminar-turbulent transition in boundary layers at hypersonic speeds ( M = 4 to 14 ). Research topics include the physical mechanisms governing the linear and nonlinear stages of transition, breakdown to turbulence, and the investigation of promising flow-control methods using high-fidelity DNS. The position is well...

Computer Science
Mechanical Engineering
Aerospace Engineering
+4 more

2 months ago

Publisher
source

Los Alamos National Laboratory

Country flag

United States

Los Alamos National Laboratory (LANL) is advertising a Postdoctoral Researcher in Applied Nuclear Physics within the P-2 Applied & Fundamental Physics Group in Los Alamos, New Mexico, United States. The role sits on the Advanced Diagnostics Development and Integration team and focuses on the development of the Neutron-Diagnosed Subcritical Experiment (NDSE) diagnostic platform . The successful candidate will support subsystem development, deployment of the system at the NNSS, and applied nuclear...

Computer Science
Experimental Physics
Statistical Analysis
+4 more

3 weeks ago

Keywords

Computer Science
Machine Learning
Mechanical Engineering
Aerospace Engineering
Mathematics
Software Engineering
Python Programming
Additive Manufacturing
Uncertainty Analysis
Symbolic Regression
Applied Physics
Statistics
Physics
Applied Mathematic

About this position

NASA Langley Research Center, under the leadership of Senior Computational Scientist James Warner, is recruiting motivated students for Summer 2026 internships focused on uncertainty quantification (UQ) and machine learning (ML). The team is seeking candidates for two main roles: UQ/ML Research and UQ/ML Software Engineering. Research positions involve exploring advanced methods in scientific machine learning, symbolic regression, generative modeling, and multifidelity methods, with direct application to NASA's real-world challenges. Software engineering roles focus on developing and maintaining open-source and internal NASA Python libraries, requiring strong Python skills and experience with software development best practices.

Interns will contribute to projects that address critical NASA applications such as additive manufacturing, advanced air mobility, certification by analysis, space hardware reliability, and weather-tolerant urban air mobility. The research group values skills in applied mathematics, statistics, applied physics, mechanical testing, aerospace engineering, numerical methods, and solid mechanics. High performance computing, damage science, and fatigue and fracture analysis are also part of the group's research areas.

Eligibility is limited to U.S. citizens. Graduate students and undergraduates with research experience are encouraged to apply for research roles, while those with strong Python programming and software engineering backgrounds are suited for the software engineering positions. The internship offers a unique opportunity to work on cutting-edge NASA problems in a dynamic and collaborative environment.

For more information and to apply, visit the official NASA STEM Gateway portal. The application deadline for Summer 2026 internships is October 1, 2026. No explicit funding details are provided, but NASA internships are typically paid positions. Interested applicants should prepare their materials to highlight relevant skills and experience in UQ, ML, and software development.

Funding details

No explicit funding details are provided. As this is a NASA internship, it is likely to be a paid position, but stipend amount and tuition coverage are not mentioned.

What's required

Applicants must be U.S. citizens and should be motivated students with a strong interest in uncertainty quantification and machine learning. For research roles, graduate students or undergraduates with research experience are preferred. For software engineering roles, proficiency in Python and experience with software development practices such as version control and testing are required. Relevant skills include applied mathematics, statistics, applied physics, mechanical testing, aerospace engineering, numerical methods, and solid mechanics.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.