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Physics Informed Machine Learning Jobs in North Carolina

Cree

Manager of Research Science

Durham, NC

Use your previous expertise in AI/ML techniques for computer vision, physics informed ML, and ... Materials Science, chemical engineering, physics, electrical Engineering, Machine Learning or ...

Trane Technologies plc

Senior Data Scientist

Davidson, NC · On-site

  • Medical

  • Retirement

  • PTO

What you will do Develop data science, machine learning, and generative AI solutions that support ... physics-informed models. Work with cloud platforms, connectors, registries, and orchestration ...

Trane Technologies plc

Senior Data Scientist

Davidson, NC · On-site

  • Medical

  • Retirement

  • PTO

What you will do • Develop data science, machine learning, and generative AI solutions that ... and physics-informed models. • Work with cloud platforms, connectors, registries, and ...

trane technologies

Senior Data Scientist

Davidson, NC · On-site

  • Medical

  • Retirement

  • PTO

What you will do Develop data science, machine learning, and generative AI solutions that support ... physics-informed models. Work with cloud platforms, connectors, registries, and orchestration ...

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

* Design and implement statistical and machine learning models for time-series forecasting, anomaly ... Bachelor's degree or equivalent in Statistics, Applied Mathematics, Physics, Engineering, Data ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

... machine learning, software engineering, and medical imaging. What You'll Bring: * Ph.D. in Biomedical Engineering, Computer Science, Electrical Engineering, Medical Physics, Imaging Sciences, or a ...

Duke University

Postdoctoral Associate

Durham, NC

... machine learning, software engineering, and medical imaging. What You'll Bring: * Ph.D. in Biomedical Engineering, Computer Science, Electrical Engineering, Medical Physics, Imaging Sciences, or a ...

Fidelity Investments

Director, GenAI Technology

Durham, NC · On-site

$126K/yr

  • Medical

  • Retirement

  • PTO

In this role, the individual leads machine learning projects with diverse scope and complex ... PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a ...

UNC-Chapel Hill

Post-Doc Research Associate

Chapel Hill, NC · On-site

  • Medical

  • Vision

  • PTO

Posting Details Department Physics and Astronomy - 319000 Posting Open Date 11/24/2025 Application ... Experience with quantum defects and/or machine learning methods like machine learning interatomic ...

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Physics Informed Machine Learning information

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 North Carolina?

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

What job categories do people searching Physics Informed Machine Learning jobs in North Carolina look for?

The top searched job categories for Physics Informed Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Physics Informed Machine Learning jobs?

Cities in North Carolina 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 North Carolina as of August 2026, with employment types broken down into 7% Internship, 43% Full Time, 43% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.

Manager of Research Science

Wolfspeed, Inc.

Durham, NC • On-site

Full-time

Re-posted 2 days ago

Wolfspeed rating

6.1

Company rating: 6.1 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

At Wolfspeed, we do amazing things in a human way.
We know that the achievements of our organization are due to the passion, hard work and creativity of our employees. We celebrate different perspectives to foster excellence across our organization, and our goal is to make diversity a foundation of what we do. We are proudly building an environment where you can bring your authentic self to work.
  • Enjoy doing things that people say can't be done? Innovation is at the center of everything we do.
  • Hate red tape? We remove roadblocks instead of creating them.
  • Working parent? We provide childcare assistance and paid parental leave.
  • Student? We offer continuing education assistance.
  • Looking for community? There are many ways to get involved, from Employee Resource Groups to local outreach.

Here's the Gist (1-2 sentences to summarize the role):
As a Manger of Research Science in Machine Learning you will direct the activities of a research group in the research and/or development of technology relevant to Wolfspeed's future products, projects and programs. You will collaborate with others on the direction of basic research and development relevant to long-term objectives and concerns and develop strategies to ensure effective achievement of scientific objectives. Additionally, you will oversee interdepartmental activities and research efforts.
The Day-to-Day:
  • Lead a team of R&D ML Engineers in deploying enterprise manufacturing solutions to increase revenue and product quality
  • Interface regularly across operations, R&D, and IT to develop novel ML techniques for semiconductor manufacturing and development
  • Use your previous expertise in AI/ML techniques for computer vision, physics informed ML, and reinforcement learning to mentor early-in-career engineers
  • Bring your previous semiconductor/materials science subject matter expertise to discussions

This Job is Right for You if You Have (Minimum Requirements)
  • Ph. D. Materials Science, chemical engineering, physics, electrical Engineering, Machine Learning or equivalent degree
  • 3-5 years leading an ML team in a high-volume manufacturing setting
  • Strong track record of leading cross-functional teams in a dynamic environment
  • Prior experience implementing AI solutions into a semiconductor or materials high volume manufacturing environment
  • Expertise in dislocation characterization, crystallography, semiconductor device physics and processing
  • Expertise in computational modeling of materials systems such as DFT and finite element model Multiphysics simulation

This role may require additional duties and/or assignments as designated by management.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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