2027 SIParCS Graduate Student Internships

UCAR - The University Corporation for Atmospheric Research; Boulder (CO); Hybrid; USD 33,000 - 45,000; Full time

Job summary

UCAR is offering the SIParCS internship program in Boulder, CO for summer interns with opportunities in high‑performance computing, data analysis, and numerical modeling. Interns will work 40 hours per week from May 17, 2027 through July 30, 2027, for 11 weeks, with on-site participation at Boulder campuses and potential hybrid meetings.

Applicants should be current U.S. university students, with a bachelor’s degree by application time, and must be authorized to work in the U.S.

Qualifications

• Must have a bachelor’s degree at time of application.
• Must currently be enrolled in a U.S. university.
• Must be a graduate or doctoral student.
• Must be authorized to work in the U.S. to be eligible for the SIParCS program.
• On-site participation in Boulder, Colorado.

Responsibilities

• Conduct original research under the guidance of your science mentor.
• Give a presentation based on your research.
• Participate professionally in all SIParCS activities
• Project work in areas such as Quantum Applications in Earth System Modeling and Data Assimilation.

Skills

40 hours/week

Communication

Team collaboration

Scientific computing tools

Problem solving

Mathematics/CS/Engineering knowledge

Education

Bachelor's degree

Graduate/doctoral student

Tools

Word

Excel

PowerPoint

Email

Job description

Final salary and rates are based on education, experience, and skills relevant to the role.

Position Type

Term - Casual (Fixed Term)

Visa Sponsored Job

No

Relocation Assistance Eligible

No

Hiring Range

Hiring Hourly Rate: $28.32/hr

Application Closes

2027-01-19

About The Role

The Summer Internships in Parallel Computational Science (SIParCS) program at the NSF National Center for Atmospheric Research (NCAR) offers graduate students and undergraduates who have completed their sophomore year significant hands‑on R&D opportunities in high‑performance computing (HPC) and related fields that use HPC for scientific discovery and modeling.

This program embeds students as summer interns in the Computational and Information Systems Laboratory (CISL), an organization within NSF NCAR charged with provisioning supercomputing and data systems to the geosciences research community, as well as conducting research and development in computational science, data analysis, scientific visualization and numerical modeling.

These twin roles of service and research in CISL support NSF NCAR's broad scientific mission of discovery in the atmospheric and related sciences.

The 2027 summer internships are 11 weeks in duration. Applicants must be available to work 40 hours per week from May 17, 2027 through July 30, 2027 for participation in the program. NSF NCAR has 3 unpaid holidays for interns during the summer internship (Memorial Day, Juneteenth, Independence Day).

Program requirements, beyond working on projects, include attending appropriate technical seminars, attending skills‑enhancing workshops, preparing a poster, and giving an oral presentation of results at the end of the summer.

For Summer 2027, we are planning for an in‑person internship program where interns come on‑site to our Boulder, Colorado campuses and meetings may be held in person or hybridly over Zoom or Google Meet.

Job Description

As a SIParCS intern, you will:

• Conduct original research under the guidance of your science mentor;
• Give a presentation based on your research;
• Participate professionally in all SIParCS activities

Project Descriptions by Title (Detailed project descriptions can be found here: http://www.cisl.ucar.edu/siparcs)

Project 06. A Study of Quantum Applications within Earth System Modeling (ESM)

Project 07. Can Data Assimilation of Spatially and Temporally Dense Surface Pressure Observations Reveal the State of the Entire Troposphere?

Project 08. Decentralized Federated Learning Sensornets for Community Resilience and Actionable Science

Project 09. EcoMAP: Ecological Mapping and AI‑Assisted Species Profiling

Project 10. Emulators and GPUs for Data Assimilation

Project 11. Ensemble vs. Regional Refinement: Satellite Data Assimilation for Urban Air Quality Forecasting

Project 12. Exploring Agentic Software Engineering and Spec‑Driven Development for Scientific Software

Project 13. Exploring AI‑Assisted Interfaces for Search and Discovery using Scientific Embeddings

Project 14. Large GPU Ensembles and Rare‑Event Sampling for Weather and Climate

Project 15. MPAS-A and Evaluating AI‑assisted Coding Methods

Project 16. Using agentic AI to accelerate the modernization of a large scientific codebase

Who We'd Love To Join Our Team

Education and Experience

• Must have attained a bachelor's degree at the time of application.
• Must currently be enrolled in a U.S. university.
• Must be a graduate or doctoral student.
• Must be authorized to work in the U.S. to be eligible for the SIParCS program.
• For F visa students accepted to the SIParCS program, CPT work authorization issued through a U.S. Designated School Official (DSO) or OPT issued through both a DSO and the U.S. Citizenship and Immigration Services (USCIS) will be required.
• On‑site participation in Boulder, Colorado.

Knowledge, Skills, and Abilities

• Ability to work 40 hours/week from May 10 - July 30, 2027 (dates to be confirmed). End date may be flexible.
• NSF NCAR has 3 unpaid holidays for interns during the summer internship (Memorial Day, Juneteenth, 4th of July).
• Ability to work with a broad group of peers.
• Skill in the use of software for communication purposes (e.g. Word, Excel, PowerPoint, email).
• Ability and willingness to learn and use scientific computing tools and programs.
• Good oral and written communication skills.
• Basic problem‑solving skills.
• Ability to analyze data and draw conclusions.
• Basic knowledge, through coursework, of mathematics, computer science, or engineering.
• Ability to interact with mentors and peers in a manner that supports collaboration and inquiry.
• Ability and willingness to work within guidelines and policies of the organization and assigned work groups.

Application Requirements

Personal Statement, Questionnaire, Resume/CV, Unofficial Transcripts

Submit all required application materials by 11:59 p.m. Mountain Time on 2027-01-19. Only candidates with complete applications (including questionnaires, when required) will be considered.

We recognize that no candidate will meet 100% of the listed qualifications. If you believe your background has prepared you for success in this role, we encourage you to apply.

Candidates selected for hire will complete background checks and/or federal screenings.

Additional Information

UCAR is an Equal Opportunity Employer and welcomes all applicants. We do not discriminate based on race, age, sex, gender identity, disability, veteran status, or any other legally protected characteristic. You don’t need to include age‑related information, such as birth or graduation dates, in your initial application.

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act, the Colorado Anti‑Discrimination Act, or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on an employee. Please inform your Recruiter if you need assistance completing this application or to otherwise participate in the application process.

Visa Sponsorship: UCAR can sponsor H-1B status only for candidates already in the U.S. who hold H-1B status or another status that allows a change to H-1B within the country. We cannot sponsor new H-1B visas that require consular processing abroad.

Compliance and Location: All roles must comply with U.S. export control regulations and work location requirements. Hybrid staff work on‑site 3 days per week or equivalent, based on their flexible work arrangement. UCAR requires ALL positions to be performed within the U.S., excluding U.S. Territories.

Artificial Intelligence (AI) Use: AI tools are permitted, but we strongly encourage candidates to submit primarily original work.