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Computational Modeling Intern Jobs (NOW HIRING)

GenBio AI

Research Scientist Intern

Palo Alto, CA · On-site

$8K - $10K/mo

... computational biology research. Your primary tasks will include improving existing models and ... Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on ...

GenBio AI

Research Scientist Intern

Palo Alto, CA · On-site

$8K - $10K/mo

... computational biology research. Your primary tasks will include improving existing models and ... Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

Depending on progress and interest, the intern may also help fine-tune LLM-based models using ... Infrastructures and computational resources to support your work. * Opportunity to work on cutting ...

National Fair Housing Alliance

AI Safety Intern

Washington, DC · On-site

$17 - $22.50/hr

The Intern will contribute to both technical research outputs -- including measurement models, data visualizations, and computational analyses -- and policy-oriented deliverables aimed at informing ...

Gaf

AI Intern

Parsippany, NJ · On-site

$15 - $20/hr

This intern will assist with the development, testing, and deployment of machine learning models ... data for model development. * Ability to communicate complex mathematical and computational ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

Depending on progress and interest, the intern may also help fine-tune LLM-based models using ... Infrastructures and computational resources to support your work. * Opportunity to work on cutting ...

Pravāh

ML Summer Intern

San Francisco, CA · On-site

$5K - $10K/mo

... computational methods to join us for a summer internship. As an ML Intern at Pravah, you will work ... Develop and improve forecasting models for weather and electricity demand * Working with large ...

Nrel

Transportation Systems Intern (Year-Round)

Golden, CO · On-site

$44K - $71K/yr

The Advanced Computing Solutions Group in the NLR Computational Science Center has an opening for a ... The researcher will assist in supporting large-scale modeling efforts for charging station impact ...

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Computational Modeling Intern information

What are some common challenges faced by Computational Modeling Interns during their internship?

Computational Modeling Interns often encounter challenges such as adapting to complex simulation software and learning the specific coding standards used by their team. They may also need to balance multiple projects while ensuring the accuracy and reproducibility of their models. Collaboration with researchers and engineers is frequent, so strong communication skills are important to effectively interpret data and incorporate feedback. These challenges provide valuable learning opportunities and help interns develop a strong foundation for a future career in computational modeling.

What are the key skills and qualifications needed to thrive as a Computational Modeling Intern, and why are they important?

To thrive as a Computational Modeling Intern, you generally need a solid background in mathematics, physics, or engineering, along with proficiency in programming languages like Python or MATLAB. Familiarity with simulation software, data analysis tools, and version control systems such as Git is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help interns excel when interpreting results and collaborating with research teams. These skills and qualities are essential for efficiently developing, testing, and refining computational models that drive innovation and research progress.

What does a Computational Modeling Intern do?

A Computational Modeling Intern assists in developing and running computer-based simulations to analyze scientific, engineering, or business problems. They work with specialized software and programming languages to build models that predict outcomes, test hypotheses, or optimize processes. Interns often collaborate with experienced researchers or engineers, interpret simulation results, and help document findings. This role provides valuable hands-on experience with computational tools and methodologies used in various industries.

What is the difference between Computational Modeling Intern vs Data Analyst Intern?

AspectComputational Modeling InternData Analyst Intern
Required CredentialsUndergraduate or graduate in STEM, programming skillsUndergraduate or graduate in related field, analytical skills
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, tech firms, research institutions
Employer & Industry UsageResearch projects, product development, simulationsData analysis, reporting, decision support

Computational Modeling Interns focus on developing and applying computational models and simulations, often requiring programming and mathematical skills. Data Analyst Interns primarily analyze datasets to extract insights, supporting business decisions. While both roles involve data handling, the Modeling Intern emphasizes simulation and algorithm development, whereas the Data Analyst Intern concentrates on data interpretation and reporting.

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Computational Modeling Intern jobs near you

Pre-Doctoral Researcher, Initiative for Computational Catalysis

Flatiron Institute

Manhattan, NY • On-site

$60K/yr

Full-time

Posted 2 days ago

Job description

Description
ORGANIZATIONAL OVERVIEW
The Flatiron Institute is a research unit established by the Simons foundation to advance scientific research through computational methods, including data analysis, modeling and simulation. The Initiative for Computational Catalysis is the newest to the Flatiron Institute launched in July 2024 and is dedicated to the development and application of computational techniques enabling the rational design of more efficient and affordable catalysts. In order to tackle the complex mechanisms and dynamics of catalytic processes, research from electronic structure, molecular dynamics, and machine learning are combined in computational approaches. In addition to ICC, the Flatiron Institute hosts the Centers for Computational Astrophysics, Computational Biology, Computational Mathematics, Computational Quantum Physics, and Computational Neuroscience, and a common scientific computing core.
The Initiative for Computational Catalysis (ICC) seeks temporary full-time Pre-doctoral Researchers as part of its Pre-Doctoral Program. This program provides graduate students pursuing their PhD in a relevant field the opportunity to be employed at the ICC for 4 months for the purpose of working on a research project with one or more ICC staff mentors. This position will be based onsite at the foundation in New York City.
Applicants for this position should indicate in their application one or more potential mentors at ICC and must have the approval of their thesis advisor. Pre-doctoral sessions will be held in the Fall and Spring. Applications submitted by May 29, 2026 will be considered for the Fall 2026 session. Applications submitted by August 28, 2026 will be considered for the Spring 2027 session.
Research projects may entail developing and implementing the concepts, algorithms and codes needed to obtain insight into the microscopic processes of catalytic reactions, and ultimately predict materials with targeted catalytic properties. Information about potential mentors and research projects may be obtained from ICC's website.
Qualifications
Education
  • Currently engaged in dissertation research in a PhD program in a field such as physics, chemistry, materials science, or a related field relevant to the proposed research.

ESSENTIAL FUNCTIONS/RESPONSIBILITIES
  • Reporting to a designated ICC staff scientist, the research intern will apply skills of analytical calculation, algorithm development and implementation, testing and running computer codes, and data analysis to topics of relevance to ICC's mission.
  • Other responsibilities including reporting on research, writing documentation, and performing other ICC mission-related tasks or duties as required.

Experience
  • At least 1-2 years of advanced course work in areas relevant to the proposed research along with 1 or more years of relevant research experience.
  • Demonstrated understanding of basic research skills
  • Experience with programming in one or more of the following: Matlab, Python, Julia, Fortran or C/C++ under Windows, OS-X or Linux operating systems.

Related Skills & Other Requirements
  • Technical and scientific curiosity
  • Professional and effective communication skills
  • Excellent collaboration skills
  • Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code review and version control systems (e.g., Git) and of linux is desirable.

Application Instructions
REQUIRED APPLICATION MATERIALS
  • CV and publication list
  • Description of previous research experience (not to exceed two pages)
  • Research proposal of not more than 2 pages outlining planned work at Flatiron including name(s) of potential mentor(s) and the Fall or Spring session dates.
  • Two (2) letters of recommendation submitted confidentially by the letter writers through Interfolio. One letter must be from the applicant's PhD supervisor and must explicitly approve the applicant's possible participation in the Pre-Doctoral Program as well as confirm that, should they be selected, there will be tuition support during their time in the Pre-Doctoral program.

SESSION DATES:
  • Fall 2026: September 8, 2026 to December 18, 2026
  • Spring 2027: January 11, 2027 to May 14, 2027

APPLICATION DEADLINE:
  • The application deadline for the Fall program is May 29, 2026
  • The application deadline for the Spring program is August 28, 2026

COMPENSATION AND BENEFITS
  • The full-time annualized compensation for this position is $60,000, which will be prorated for the term.
  • This position is eligible for medical benefits only.

Apply