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Equinox

Personal Trainer, Flatiron

New York, NY

Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty ...

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What is the Flatiron Institute?

The Flatiron Institute is a research division of the Simons Foundation, dedicated to advancing scientific research in mathematics, computational science, and the natural sciences. Located in New York City, it brings together scientists and researchers from various disciplines to collaborate on complex problems using computational and data-driven approaches. The institute is organized into several centers that focus on areas such as computational biology, astrophysics, neuroscience, quantum physics, and mathematics. Its mission is to foster interdisciplinary research and provide resources and support for innovative scientific discoveries.

What is the difference between Flatiron Institute vs Data Scientist?

AspectFlatiron InstituteData Scientist
Required CredentialsAdvanced degrees in physics, mathematics, or related fieldsBachelor's or master's in computer science, statistics, or related fields; often a PhD for senior roles
Work EnvironmentResearch-focused, academic and scientific institutionsCorporate, tech companies, or research organizations
Employer & Industry UsageResearch institutes, scientific organizationsBusinesses, tech firms, startups, and research labs
Common Search & ComparisonResearch roles in scientific institutionsData analysis and modeling roles in industry

The Flatiron Institute primarily employs researchers with advanced degrees in scientific fields for research-focused roles. Data Scientists typically have degrees in computer science or related fields and work in industry settings. While both roles involve data analysis, the Flatiron Institute emphasizes scientific research, whereas Data Scientists focus on business insights and product development.

What are the key skills and qualifications needed to thrive as a researcher at the Flatiron Institute, and why are they important?

To thrive as a researcher at the Flatiron Institute, you need advanced expertise in computational science, mathematics, or physics, typically backed by a PhD or equivalent research experience. Proficiency with programming languages (such as Python or C++), data analysis tools, and high-performance computing systems is crucial. Strong problem-solving abilities, collaboration, and clear communication skills help you work effectively in interdisciplinary teams. These skills and qualities are essential for advancing scientific discovery and contributing meaningful research in a cutting-edge, collaborative environment.

What types of projects do researchers typically work on at the Flatiron Institute, and how do interdisciplinary teams collaborate?

At the Flatiron Institute, researchers often engage in computational and data-driven projects across fields such as astrophysics, biology, mathematics, and neuroscience. Teams are highly interdisciplinary, frequently collaborating with experts from different scientific backgrounds to solve complex problems. Regular seminars, collaborative coding sessions, and cross-disciplinary workshops foster a dynamic environment where sharing ideas and expertise is encouraged. This structure not only enhances project outcomes but also provides significant opportunities for learning and career growth.
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Infographic showing various Flatiron Institute job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 79% Full Time, 17% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

[EOI][SPRING 2026] Polymathic AI Postdoctoral Researcher

New York University

New York, NY • On-site

$80K - $110K/yr

Full-time

Re-posted 17 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities

Job description

Description
The Center for Data Science at New York University (NYU) invites applications for postdoctoral scholars as part of the Polymathic AI initiative
Polymathic AI is inviting applications for postdoctoral researchers in our team. Our research focuses on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking for postdoctoral researchers that will contribute to our research on interpretability, generalization and general understanding of foundation models. The overarching objective is to create open access tools that enable researchers to reach meaningful understanding of the complex model quickly thus speeding up the pace of scientific discovery.
Fulfilling this objective requires creativity to combine core-principles of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with the Adaptive Bayesian Intelligence group headed by Dr. Emtiyaz Khan at RIKEN-AIP (in Tokyo, Japan) and TU Darmstadt (in Germany). The candidate is expected to make the best use of adaptive-learning methods to develop practical tools to the most pressing scientific challenges in science. The collaboration may require some amount of travelling to Japan and Germany.
The selected 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 at Polymathic AI offers a unique opportunity to work on cutting edge AI models and advance AI for scientific discovery.
Several positions are available. The review of applications will begin immediately and will continue until the positions are filled.
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $80,000-$110,000.
Qualifications
We are seeking highly motivated individuals with backgrounds in computer science, machine learning, and science to join our group in a quest to perform breakthrough research. An ideal candidate has strong research skills in relevant areas: machine learning, foundation models, computational sciences. A Ph.D. degree is required. Significant experience with programming, project management, and large-scale model training is a plus.
Application Instructions
To apply, please send us your application and reference letters:
  • The application should include:
    • A 1-2 page research statement, please make sure to address the following:
      • the specific areas you want to work on,
      • how they fit with research in Polymathic,
      • how they build upon your previous work, and
      • your preferred start date;
    • Your current CV with research background and a list of your publications;
    • Copies of your two representative publications.
  • Submit the application to LINK. We encourage you to also include links to any software that you have developed.
  • Arrange for two letters of reference from your previous research supervisors and collaborators to be sent directly within 2 weeks of your submission.

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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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