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Physics Informed Machine Learning Jobs in Columbia, SC

State of South Carolina

Post Doctoral

Columbia, SC

$45K - $61K/yr

D.) degree in Chemical Engineering, Materials Science, Computational Chemistry, Chemical Physics, or a closely related field. Experience with molecular simulation, machine learning, or related ...

State of South Carolina

Post Doctoral

Columbia, SC · On-site

$45K - $61K/yr

D.) degree in Chemical Engineering, Materials Science, Computational Chemistry, Chemical Physics, or a closely related field. • Experience with molecular simulation, machine learning, or related ...

Pwc

CTIO AI Engineering Manager

Columbia, SC

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Td

Data Scientist III - FCRM

Lexington, SC

$96K - $155K/yr

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt ... Keeps others informed and up to date about the status/progress of projects and/or all relevant or ...

Pwc

NGA AI Engineer Senior Manager

Columbia, SC · On-site

$91K - $321K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

NGA AI Engineer Manager

Columbia, SC

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

US Tech - AI Engineering Manager

Columbia, SC

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC

$99K - $232K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in Columbia, SC

Physics Informed Machine Learning information

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$18

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

As of Jul 28, 2026, the average hourly pay for physics informed machine learning in Columbia, SC is $18.56, according to ZipRecruiter salary data. Most workers in this role earn between $11.59 and $23.56 per hour, depending on experience, location, and employer.

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 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 is a Physics Informed Machine Learning job?

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 popular job titles related to Physics Informed Machine Learning jobs in Columbia, SC? For Physics Informed Machine Learning jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Columbia, SC look for? The top searched job categories for Physics Informed Machine Learning jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Physics Informed Machine Learning jobs? Cities near Columbia, SC with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Post Doctoral

Post Doctoral

State of South Carolina

Columbia, SC

$45K - $61K/yr

Other

Posted 9 days ago

State Of South Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

20th of 50 rated states

Job description

Job Responsibilities Post Doctoral Department: CEC Chemical Engineering Part/Full Time: Full Time Advertised Salary Range: About UofSC From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning.

All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond. Advertised Job Summary The Postdoctoral Associate will conduct research on the computational design of soft materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and circular-economy applications.

The Post Doctoral Associate will design and execute simulation and machine-learning studies, analyze results, disseminate findings through publications and presentations, mentor junior researchers, and support proposal development. Required Education and Experience Preferred Qualifications Doctoral (Ph.D.) degree in Chemical Engineering, Materials Science, Computational Chemistry, Chemical Physics, or a closely related field. Experience with molecular simulation, machine learning, or related computational methods for molecular or materials systems

Background in polymer science, soft materials, complex fluids, or related areas. Proficiency in scientific programming with Python and/or C++. Strong written and verbal communication skills.

Knowledge/Skills/Abilities Knowledge of computational methods for molecular and materials research. Ability to design, execute, and analyze computational studies independently. Proficiency in scientific programming and effective written and verbal communication.

Job Close Date 08/15/2026 Special Instructions to Applicant Applicants must upload a copy of their C.V/resume' and provide details in the work employment history section. Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time

This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.

We are only accepting applications submitted by August 15, 2026. To apply, please visit: https://apptrkr.com/7329304 EEO Statement The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions. Copyright 2025 Jobelephant.com Inc

All rights reserved. https://www.jobelephant.com/

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About State of South Carolina

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State of South Carolina is not a typical corporation, but the governing body of the US state of South Carolina, located in the capital city of Columbia. Its industry focuses on public administration, providing key essential services to ensure the efficient functioning of the state. These services range from public safety and environment protection to education, healthcare, and economic development. The state was founded in 1788, grounded in democratic principles meant to support the overall well-being of its citizenry. Its core values revolve around service, integrity, accountability, and transparency. The mission of the State of South Carolina is to improve the quality of life for all its people, with a focus on education advancement, economic growth, and improved healthcare.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Columbia, SC, US

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