1

Artificial Intelligence Machine Learning Physics Jobs in Tennessee

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

Experience in bioinformatics, genomics, machine learning, artificial intelligence, or biomedical data science is preferred. Equal Employment Opportunity Statement Meharry Medical College complies ...

AI/ML Computational Science Manager

Morristown, TN · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and ...

AI/ML Computational Science Manager

Nashville, TN · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and ...

VP, Application Services

La Vergne, TN

$171K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and artificial intelligence teams. Accountable for the full technology product lifecycle, from ... intelligence, machine learning, continuous integration and omnichannel. We support diverse people ...

VP, Application Services

La Vergne, TN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and artificial intelligence teams. Accountable for the full technology product lifecycle, from ... intelligence, machine learning, continuous integration and omnichannel. We support diverse people ...

VP, Application Services

La Vergne, TN · On-site

$171K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and artificial intelligence teams. Accountable for the full technology product lifecycle, from ... intelligence, machine learning, continuous integration and omnichannel. We support diverse people ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 41-60

Artificial Intelligence Machine Learning Physics information

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Tennessee?

For Artificial Intelligence Machine Learning Physics jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Tennessee look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Tennessee are:

What cities in Tennessee are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities in Tennessee with the most Artificial Intelligence Machine Learning Physics job openings:

Post-Doctoral Research Associate: Department of Physics and Astronomy - UTK

University of Tennessee, Knoxville

Knoxville, TN • On-site

Full-time

Re-posted 9 days ago


University Of Tennessee, Knoxville rating

7.2

Company rating: 7.2 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

385th of 618 rated colleges and universities


Job description

Job Summary:
The University of Tennessee, Knoxville is seeking a highly motivated Computational Researcher to join the Del Maestro group to work on challenging problems in quantum materials. The successful applicant will utilize advanced computational methods to model complex physical interactions and collaborate with team members to solve complex modeling challenges.
Responsibilities:
• Utilize advanced computational frameworks to model complex physical interactions and transport phenomena.
• Simulate materials and account for fundamental physical effects under a range of environmental conditions.
• Leverage modern computational techniques, including data-driven and machine learning models, to accurately represent atomic-level interactions and behaviors.
• Analyze large-scale simulation data to extract key dynamic properties, and material performance metrics.
• Work with, validate, and help maintain proprietary in-house software tools and computational infrastructure.
• Collaborate with team members to apply specialized expertise toward solving complex modeling challenges.
• Ensure compliance with environment, safety, health and quality program requirements.
• Maintain strong commitment to the implementation and perpetuation of values and ethics in scientific research.
Qualifications:
Required:
• Ph.D. in physics, chemistry, materials science, or a closely related field completed no later than 08/01/2026.
• An excellent track record of productive and creative research demonstrated by publications in peer reviewed journals.
• Strong verbal and writing skills.
• Demonstrated ability to work independently and collaboratively with team members, including experimental collaborators.
• Familiarity with atomistic (e.g. molecular dynamics, Monte Carlo) and/or ab initio (e.g. density functional theory) computational tools.
• High performance computing (e.g. slurm or other workload managers).
• Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.
Preferred:
• Research experience in artificial intelligence for quantum systems/materials.
Company:
As the state’s land grant, research-intensive institution, the University of Tennessee, Knoxville, is a university that leads. Founded in 1794, the company is headquartered in Knoxville, TN, US, , with a team of 10001+ employees. The company is currently Late Stage.

What University Of Tennessee, Knoxville employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom