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Full Time Climate Modeling information

What is full time climate modeling?

Full time climate modeling jobs involve using computer simulations and mathematical models to study and predict climate patterns and changes. Professionals in these roles analyze data related to the atmosphere, oceans, and land to understand how climate systems interact and how they might change over time. These jobs are typically found in research institutions, government agencies, and environmental organizations. They often require strong analytical skills, knowledge of programming, and expertise in atmospheric or environmental science. The goal is to provide insights that help society prepare for and respond to climate change.

What are the key skills and qualifications needed to thrive as a full time climate modeler?

To thrive as a Full Time Climate Modeler, you need strong quantitative skills, expertise in atmospheric or earth sciences, and an advanced degree (often a master's or Ph.D.) in a related field. Proficiency with programming languages like Python or Fortran, experience using climate modeling software (e.g., GCMs), and familiarity with data analysis tools such as MATLAB or R are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings to diverse audiences. These capabilities are crucial for producing reliable models and actionable insights that drive scientific understanding and inform policy or business decisions related to climate change.

What are some common challenges faced by professionals in full time climate modeling roles, and how can they be addressed?

Professionals in full-time climate modeling often encounter challenges such as managing large datasets, ensuring model accuracy, and keeping up with evolving computational methods. Collaborating with interdisciplinary teams—including atmospheric scientists, data analysts, and software engineers—is essential to address these challenges effectively. Staying updated with the latest research, regularly validating models, and leveraging high-performance computing resources can help professionals overcome obstacles and deliver reliable climate projections.

What is the difference between Full Time Climate Modeling vs Full Time Climate Data Analysis?

AspectFull Time Climate ModelingFull Time Climate Data Analysis
Required CredentialsDegree in Climate Science, Meteorology, or related field; experience with modeling softwareDegree in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentResearch labs, universities, government agenciesResearch institutions, environmental organizations, government agencies
Industry UsageDeveloping climate models, simulations, scenario projectionsAnalyzing climate data sets, interpreting results, reporting findings

Full Time Climate Modeling focuses on creating and running climate simulations to predict future conditions, while Full Time Climate Data Analysis emphasizes examining existing climate data to identify trends and insights. Both roles require strong scientific backgrounds but differ in their core tasks and tools used.

Do full time climate modeling jobs pay well?

Full time climate modeling jobs typically offer competitive salaries that vary based on experience, education, and location. Professionals with advanced degrees and skills in programming, data analysis, and climate science tend to earn higher wages, with many positions providing benefits and opportunities for advancement.
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What cities are hiring for Full Time Climate Modeling jobs?

Cities with the most Full Time Climate Modeling job openings:

What are the most commonly searched types of Climate Modeling jobs?

The most popular types of Climate Modeling jobs are:

What job categories do people searching Full Time Climate Modeling jobs look for?

The top searched job categories for Full Time Climate Modeling jobs are:

What other helpful pages are available for Full Time Climate Modeling?

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Full Time Climate Modeling jobs near you
Infographic showing various Full Time Climate Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Assistant Research Scientist in AI+Physics/Climate (NYU Courant Institute)

New York, NY • On-site

New York University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about New York Universityexternal

$58K - $110K/yr

Full-time

Posted 25 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

Job description

Description
We are seeking a full-time Assistant Research Scientist to join a frontier research collaboration developing next-generation AI methods for scientific applications, particularly physics and climate, at the NYU Courant Institute School of Mathematics, Computing, and Data Science.
The successful candidate will contribute to building and evaluating physics-constrained AI foundation models for climate predictions, including generalization to unseen climate forcings, and extreme events. The candidate will be primarily advised by Prof. Laure Zanna and co-advised by Prof. Carlos Fernandez-Granda, as part of the M2LInES collaboration. They will also have the opportunity to collaborate with leading scientists in the field, which in addition to M2LInES scientists, include Jesse Rusak and Alex Merose from Open Athena, Ai2 Climate Modeling, and Prof. Richard Turner (Cambridge), on creating a new generation of AI foundation and world models for Climate.
This will build on a suite of major developments led by the team in developing AI emulators for the ocean, sea-ice, and atmosphere, and the full climate science system, with 1000x speedups over the original models. The expansion of these works includes exploring multiple resolutions, multimodality, and the grand challenges of learning physics on multi-century timescales for climate projections.
The position, available immediately, is a full-time appointment, initially for one year, with the possibility of renewal for two additional years, subject to satisfactory performance and available funding.
Some examples of recent work (more at M2LInES):
  • Multi-resolution ocean AI model, Samudra 2: https://doi.org/10.1029/2025GL119340
  • Coupled ocean-atmosphere AI model, SamudrACE: https://doi.org/10.48550/arXiv.2606.02610
  • A conservative sea-ice AI model, FloeNet: https://doi.org/10.1029/2026GL122981

In compliance with NYU's Pay Transparency Act, the annual base salary range for this position is $58,656 - $110,000. NYU considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer quality, as well as market and organization considerations. Candidates with particularly relevant or specialized knowledge may be considered for compensation above the higher end of the range.
Qualifications
  • Education: Bachelor's degree in computer science, machine learning, applied mathematics, engineering, physical science, or a related technical discipline. Master's degree is a plus.
  • 2+ years of research experience
  • Expertise or strong demonstrated skill in deep learning and computational science
  • Experience or interest in developing methods for scientific applications (not necessarily climate-related)
  • Proficiency in Python
  • Experience with HPC (GPUs preferred) is a plus
  • Experience with agentic programming is a plus

Related Skills and Other Requirements:
  • Ability to work at the interface of AI and science/engineering problems
  • Ability to contribute to multiple projects in a fast-paced environment
  • Ability to work both independently and collaboratively as part of an interdisciplinary team
  • Outstanding written and oral communication skills
  • Technical and scientific curiosity
  • A record of relevant projects, publications, or software appropriate to their career stage

Application Instructions
For full consideration, applicants should submit via Interfolio, the following by September 20th 2026 (earlier applications are strongly encouraged):
  • A cover letter (no more than 2 pages) detailing 1) research/technical experience, 2) how you would fit our project, and 3) available start date.
  • A Curriculum Vitae (no more than 2 pages)
  • A list of relevant projects, publications, and/or software repositories (including GitHub repos)
  • 2 confidential letters of recommendation

Applications are reviewed only if you have fulfilled the requirements above, and submitted to Interfolio.
For additional information, please contact m2lines@nyu.edu.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Colleges, universities, and professional schools

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Headquarters location

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Year founded

1831

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