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Physics Informed Machine Learning Jobs in Mississippi

AIToolboard

Senior Data Scientist

Laurel, MS · On-site

$110 - $150/hr

A Master's or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field * Experience with artificial intelligence, machine learning ...

Kosciusko School District

Science Teacher

Kosciusko, MS

$47K - $60K/yr

... physics, in accordance with district curriculum. - Promotes critical and creative thinking and ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

Kosciusko School District

Science Teacher

Kosciusko, MS · On-site

$47K - $60K/yr

... physics, in accordance with district curriculum. - Promotes critical and creative thinking and ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

Rural King

Recovery Associate

Columbus, MS

Use general office equipment such as telephone, copy machine, fax machine, calculator, computer ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King

Recovery Associate

Columbus, MS · On-site

Use general office equipment such as telephone, copy machine, fax machine, calculator, computer ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King

Recovery Associate

Columbus, MS · On-site

Use general office equipment such as telephone, copy machine, fax machine, calculator, computer ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Drax Group

Pellet Mill Operator I

Gloster, MS · On-site

... machine setup, cleaning, and administrative functions that support site operations. Why join Drax ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

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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 Mississippi?

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

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

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

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

Cities in Mississippi 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 Mississippi as of August 2026, with employment types broken down into 6% Internship, 42% Full Time, 45% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.

Senior Data Scientist

AIToolboard

Laurel, MS • On-site

$110 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Johns Hopkins Applied Physics Laboratory Laurel, US

Full-time

About the Role

DescriptionAre you passionate about building solutions for our greatest national security challenges?Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?Do you value working in a creative and collaborative environment?If so, we're looking for someone like you to join our team at APL.The Threat Analytic Systems (QAI) Group is seeking talented team members who will help provide our nation with ground-breaking capabilities that bridge the gaps between data, the latest developments in technology, and real-world impact of national importance. We need talented engineers, scientists, and developers with curiosity and a drive for learning!As a member of our team, you will…

  • Apply expertise in artificial intelligence, machine learning, statistical analysis, and/or software development to solve challenging data analysis problems for our sponsors
  • Research, develop, evaluate, and deploy innovative techniques and technologies in the fields of data science and artificial intelligence
  • Develop prototype software to gather, process, and analyze intelligence data from various sources
  • Effectively communicate ideas and results through papers and presentations to technical staff, management, and government decision makers

QualificationsYou’ll meet our minimum requirements if you have…

  • A Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field
  • Experience with artificial intelligence, machine learning, and statistical analysis
  • Proven track record in designing and developing algorithms and implementing systems for solving interdisciplinary problems
  • Hands-on experience with Python
  • Comfort working with loosely defined or high-level requirements
  • Ability to work on and set priorities for multiple dynamic projects, independently or within a team, to support evolving national security requirements
  • Strong problem solving, analytical, and organizational skills
  • Demonstrated initiative
  • Excellent written and verbal communication skills
  • Have the ability to obtain a TS/SCI+poly level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you have…

  • Experience with project management and/or leading technical teams
About Us

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistanc

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