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Physics Informed Machine Learning Jobs in Brooklyn, NY

New York University

Post Doctorate Associate

New York, NY · On-site

$70K/yr

... machine learning, and network-based infrastructure modeling. New York University (NYU) is one of ... The CERA Lab develops data-driven and physics-informed methods to identify, measure, and manage ...

Everstar Inc

Founding AI Engineer

New York, NY · On-site

Physics-informed design safety analyses using world models that reason about thermal hydraulics ... Agentic workflows that compound over time, learning from each regulatory submission to improve the ...

ICF

Senior Climate Analytics Specialist

New York, NY

$95K - $117K/yr

Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches * Design, train, and ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY

$150K - $180K/yr

We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn ... As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY

$150K - $180K/yr

We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn ... As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $180K/yr

We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn ... As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ...

PhysicsX

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced ...

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How much do physics informed machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for physics informed machine learning in Brooklyn, NY is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $26.78 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Brooklyn, NY?

For Physics Informed Machine Learning jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Brooklyn, NY look for?

The top searched job categories for Physics Informed Machine Learning jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Physics Informed Machine Learning jobs?

Cities near Brooklyn, NY with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Brooklyn, NY as of August 2026, with employment types broken down into 6% Internship, 44% Full Time, 43% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,880 per year, or $21.1 per hour.

Post Doctorate Associate

New York University

New York, NY • On-site

$70K/yr

Full-time

Re-posted yesterday

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

81st of 620 rated colleges and universities

Job description

Description
POSTDOCTORAL ASSOCIATE
New York University Tandon School of Engineering
The Climate, Energy, and Risk Analytics (CERA) Lab at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work on AI-driven modeling of infrastructure risk and climate resilience, with a focus on integrating remote sensing, machine learning, and network-based infrastructure modeling.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The CERA Lab develops data-driven and physics-informed methods to identify, measure, and manage climate risks, with applications spanning urban infrastructure, financial systems, and policy decision-making. The lab collaborates closely with public agencies, industry partners, and international research institutions.
Responsibilities Expectations
Candidates will be responsible for leading two closely integrated research projects: (1) developing scalable pipelines to generate structure-level building vulnerability datasets from multimodal data sources (e.g., satellite imagery, street view, and vision-language models), and (2) modeling cascading infrastructure disruptions across interdependent systems (e.g., power and transportation) using graph-based and data-driven approaches. In addition to these core projects, the Postdoctoral Associate will have the opportunity to contribute to related efforts in climate risk modeling, including generative hazard modeling, adaptation decision frameworks, and interdisciplinary collaborations with external partners. The Postdoctoral Associate will also contribute to the development of research proposals and collaborative projects, including federal and industry-sponsored funding opportunities, and will have the opportunity to help shape an independent research agenda aligned with ongoing efforts in the lab. The successful candidate will have a demonstrated background in machine learning, geospatial data analysis, risk analysis, and/or infrastructure systems modeling as exemplified by a strong publication record. Previous experience in remote sensing data, multimodal learning, or network-based modeling is desired.
Salary range
In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $70,000, depending on the candidate's experience and qualification.
Qualifications
Candidates should have a PhD in Computer Science, Mechanical/Civil/Environmental Engineering, Applied Mathematics/Physics, Operations Research, or a related field. We welcome applicants with recent PhDs and individuals seeking additional postdoctoral training. Candidates will be required to present eligibility to work in the United States.
Application Instructions
Applicants should submit, as one pdf, the following information:
  • an up-to-date CV that includes a complete list of publications,
  • a research statement that describes their interest and goals and how their research relates to this position,
  • copies of up to three relevant scientific papers,
  • names and contact information for three references.

All application materials should be submitted electronically via Interfolio and to: yuki.miura@nyu.edu
Review of applications will begin as soon as possible and will continue until the position is filled. Expected start date is: /1/2026.

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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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Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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