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Hands-on experience with mouse models, including animal handling, procedures, tissue and fluid ... Postdoctoral Associates are supported through mentoring, training, and opportunities that foster ...

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What is a postdoc in fluid mechanics?

A Postdoc in Fluid Mechanics is a researcher who has completed their PhD and is engaged in advanced research related to the behavior and dynamics of fluids, such as liquids and gases. Postdoctoral researchers in this field work in academic, government, or industry labs, often focusing on areas like turbulence, computational fluid dynamics, or experimental fluid flow. Their work typically involves conducting experiments, developing simulations, publishing research papers, and collaborating with other scientists. The role is usually temporary, lasting from one to three years, and helps scholars deepen their expertise while preparing for permanent academic or industry positions.

What are the key skills and qualifications needed to thrive as a postdoc in fluid mechanics?

To thrive as a Postdoctoral Researcher in Fluid Mechanics, you need an advanced degree (Ph.D.) in engineering, physics, or a related field, with strong expertise in fluid dynamics and applied mathematics. Proficiency with computational fluid dynamics (CFD) software, simulation tools, and programming languages like Python or MATLAB is often required. Strong analytical thinking, problem-solving abilities, and effective scientific communication set candidates apart. These skills are crucial for conducting innovative research, publishing results, and collaborating in interdisciplinary academic or industrial teams.

What opportunities for interdisciplinary collaboration can a postdoc in fluid mechanics expect within a research institution?

As a Postdoc in Fluid Mechanics, you will often collaborate with researchers from related fields such as physics, mechanical engineering, materials science, and computational modeling. Many projects require interdisciplinary teamwork, particularly when tackling complex problems like turbulence modeling, microfluidics, or environmental fluid dynamics. This collaborative environment not only broadens your technical expertise but also enhances your professional network. Engaging in interdisciplinary research can also lead to co-authored publications and open pathways to new research directions or industry partnerships.
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Infographic showing various Postdoc Fluid job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Postdoctoral Researcher at Polymathic AI

New York University

New York, NY • On-site

Full-time

Re-posted 5 days ago


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Company rating: 8.5 out of 10

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Job description

Description
The Center for Data Science at New York University (NYU) invites applications for postdoctoral researchers as part of the Polymathic AI initiative, focused on generalization and transfer across scientific disciplines, as well as mechanistic interpretability of scientific foundation models.
The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar prediction ... At the core of their ability is the capacity to generalize unseen data and to be applied as pretrained models to different domains. However, these properties remain only partially understood, exploring and advancing them, both during training and at test time, is crucial for developing the next generation of pan-scientific models.
The selected postdoctoral candidates will join a vibrant, interdisciplinary team based in New York, spanning NYU and the Flatiron Institute, composed of machine learning researchers, engineers, and domain scientists. This collaborative environment offers a unique opportunity to work on cutting edge AI models and advance AI for scientific discovery.
Expected skills/functions:
  • Engage in research and train large AI models for science
  • Generate new large scientific datasets
  • Develop and maintain complex codebases
  • Read and integrate research across AI and scientific domains literature

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $80,000-$100,000.
Qualifications
  • Ph.D. in a relevant field

Application Instructions
Please follow instructions in the Interfolio application and upload the following documents:
  • Your curriculum vitae
    Your research statement (1-2 pages)
    Two (2) contact reference

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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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