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Physics Informed Machine Learning Jobs in Baton Rouge, LA

... and machine dealers, delivering exceptional service and support. They will also be the go-to for ... Produce monthly financial and management reports, contributing to informed decision-making.

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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

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

As of Aug 19, 2026, the average hourly pay for physics informed machine learning in Baton Rouge, LA is $19.27, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $24.47 per hour, depending on experience, location, and employer.

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 Baton Rouge, LA?

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

What job categories do people searching Physics Informed Machine Learning jobs in Baton Rouge, LA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Physics Informed Machine Learning jobs?

Cities near Baton Rouge, LA with the most Physics Informed Machine Learning job openings:

WAE - Quantum Algorithms Researcher

Louisiana State University

Baton Rouge, LA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Job Posting Title:
WAE - Quantum Algorithms Researcher
Position Type:
Wages as Earned (Fixed Term)
Department:
LSUAM Engineering - Petroleum - Integrated Petroleum Engineering and Analytics Research (Jyotsna Sharma (00057933))
Work Location:
3207 Patrick F. Taylor Hall
Pay Grade:
Temporary
Job Description:
The Petroleum Engineering department at Louisiana State University is seeking a motivated researcher or engineer to develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. The project may also involve signal processing, machine learning, or other computational techniques. The exact project scope may be refined based on program needs and the candidate's expertise.
100% Develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. Contribute to publishable research outcomes, with deliverables including technical documentation, presentations, and a journal manuscript or conference paper based on the project results.
Minimum Qualifications
Bachelors degree in computer science, electrical engineering, physics, applied mathematics, or closely related field.
Strong programming experience in Python and familiarity with machine learning.
Preferred Qualifications
Ph.D. in computer science, electrical engineering, physics, applied mathematics, or closely related field.
Experience with quantum algorithms, quantum computing, quantum annealing, variational quantum circuits, quantum machine learning, or quantum-inspired optimization.
Experience with quantum software frameworks such as Qiskit, PennyLane, Cirq, D-Wave Ocean, TensorFlow Quantum, or similar tools.
Pay will be commensurate with education and experience. Sponsorship is not available for this position.
Additional Job Description:
Special Instructions:
For questions regarding this position, please contact the hiring manager, Dr. Jyotsna Sharma, at jsharma@lsu.edu.
Skills Needed:
Preferred Skills:
Posting Date:
August 7, 2026
Closing Date (Open Until Filled if No Date Specified):
December 7, 2026
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
Essential Position (Y/N):
LSU is an Equal Opportunity Employer.
All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.
HCM Contact Information:
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.