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Physics Informed Machine Learning Jobs in North Carolina

Pwc

AML/Sanctions- Data Scientist- Associate

Charlotte, NC · On-site

$63K - $140K/yr

... make informed business decisions. They utilise advanced analytics techniques to help clients ... machine learning, NLP, and LLMs in relevant projects - Contribute to team efforts while enhancing ...

Bank of America

Data Scientist II

Charlotte, NC · On-site

Bachelor's degree in a quantitative field such as: computer science, math, and physics * You have 3 ... Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation ...

Western Governors University

Decision Scientist

Raleigh, NC · On-site +1

$118K - $178K/yr

... informed, equitable, and actionable. What You'll DoBuild Intelligent Decision Systems * Design, develop, and deploy machine learning models that support key decision points throughout the student ...

UNC-Chapel Hill

Medical Physicist

Chapel Hill, NC · On-site

... learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts ... Provide clinical radiation therapy physics services for IMRT/VMAT, IGRT, SBRT, SRS and ...

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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.

Post-Doc Research Associate

UNC-Chapel Hill

Chapel Hill, NC • On-site

Full-time

Medical, Vision, PTO

Re-posted 17 days ago

University Of North Carolina At Chapel Hill rating

7.5

Company rating: 7.5 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

312th of 618 rated colleges and universities

Job description

Posting Details
Department Physics and Astronomy - 319000 Posting Open Date 11/24/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc Research Associate Vacancy ID PDS004724 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Proposed Start Date 01/01/2026 Estimated Duration of Appointment 12 Months
Position Information
Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.
Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.
UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.
Primary Purpose of Organizational Unit
Our primary mission is providing instruction of the highest quality in physics and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure of matter, from subatomic particles to the large-scale structure of the universe.
Our departmental instructional mission spans all segments of the student community. Over 60% of all college graduates from UNC-CH have taken a course in our department. Among them: undergraduate liberal arts majors who should master the power of quantitative reasoning; undergraduates seeking a degree in another of the natural sciences, who need physics as a foundation for their advanced scientific training; the small number of undergraduates who major in physics, to whom we provide broad and rigorous training. Our graduate education and research advances frontiers of knowledge at the two extremes of space and time, from the very small) the realm of particle physics) to the very large (the realm of astronomy, while expanding the boundaries of knowledge in the many subfields spanning length scales between. Forefront physics and astronomy research requires access to well-equipped laboratories and extensive computing capabilities; it also must be supported by comprehensive and accessible library collections. Again, in research at this advanced level, the bridging aspect of physics provides basic interdisciplinary insight for many other sciences.
This instructional mission is supported by a strong managerial, administrative, and technical staff. Duties of these employees range from budget planning and management for the numerous research grants held by faculty in the department to maintaining course and student records. These activities are usually accomplished in a standard 40- hour week schedule.
Position Summary
The computational materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials. The postdoc researcher will perform DFT calculations and develop methods to accelerate the design of defects in semiconductors. This position offers exciting opportunities to collaborate with experiment and theory groups. Candidates should be able to work both independently and collaboratively and contribute to a positive research group environment. The candidate is required to have experience with DFT calculations and a strong publication record. Experience with quantum defects and/or machine learning methods like machine learning interatomic potentials is a preferred qualification.
This preferred start date is January 2026 and can be negotiated. The initial appointment is for one year, with the possibility of renewal for up to two additional years based on performance.
A complete application includes (1) a cover letter summarizing the applicant's qualifications, research interests, and suitability for the position, (2) a complete CV, (3) a list of at least three references, and (4) unofficial BS and PhD transcripts. Review of applications will begin immediately and continue until the position is filled.
Minimum Education and Experience Requirements
PhD in Physics, Materials Science, Chemistry, or a closely related area
Required Qualifications, Competencies, and Experience
Strong background in solid-state physics and publication records in computational materials
Excellent written and verbal communication skills
Preferred Qualifications, Competencies, and Experience
Experience in the development and implementation of machine learning models
Special Physical/Mental Requirements Special Instructions
For information on UNC Postdoctoral Benefits and Services click here
Quick Link https://unc.peopleadmin.com/postings/309911
Posting Contact Information
Department Contact Name and Title Mengen Wang, Assistant Professor Department Contact Telephone or Email mewang@unc.edu Postdoctoral Affairs Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the University's Office of Postdoctoral Affairs at (919) 962-9982 or send an email to opahr@unc.edu.
Please note: The Office of Postdoctoral Affairs will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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About University of North Carolina at Chapel Hill

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The University of North Carolina at Chapel Hill (UNC-Chapel Hill), located in Chapel Hill, NC, US, is renowned for being one of the leading research institutes in the world. Operating within the education industry, this public research university offers a broad range of undergraduate, graduate, and professional programs across various disciplines. UNC-Chapel Hill was chartered in 1789 and has maintained its legacy of academic excellence and innovative research for more than two centuries. The institution operates under the core values of excellence, innovation, engagement, accessibility, diversity, and inclusivity. Their mission is to serve the people of North Carolina and the United States by teaching a diverse community of students to become the next generation of leaders.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Chapel Hill, NC, US

Year founded

1789

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