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Physics Informed Machine Learning Jobs in Chicago, IL

Pwc

AI & GenAI Data Scientist-Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

... informed decision-making. Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing and deploying scalable AI and Machine Learning solutions ...

IBM

Research Scientist

Chicago, IL · On-site

Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials science. * Improve upon and develop novel quantum machine learning methods that combine quantum and ...

Posted today

IBM

Research Scientist

Chicago, IL · On-site

Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials science. * Improve upon and develop novel quantum machine learning methods that combine quantum and ...

Posted today

MNF Global

EE/CS Patent Agent

Chicago, IL · On-site

$140K - $240K/yr

... physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging . This opportunity is ...

Argonne National Laboratory

Data Scientist

Lemont, IL

$116K - $181K/yr

A graduate degree in physics or physical chemistry and experience using advanced statistical methods for data analysis * Possess familiarity with machine learning techniques applicable to problems ...

New

Argonne National Laboratory

Data Scientist

Lemont, IL · On-site

$94 - $181/hr

A graduate degree in physics or physical chemistry and experience using advanced statistical methods for data analysis * Possess familiarity with machine learning techniques applicable to problems ...

New

Argonne National Laboratory

Data Scientist

Lemont, IL · On-site

$116K - $181K/yr

A graduate degree in physics or physical chemistry and experience using advanced statistical methods for data analysis * Possess familiarity with machine learning techniques applicable to problems ...

New

ZS

Manager - Manufacturing Digital Twin

Evanston, IL · On-site

$200K - $229K/yr

Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ... immersive, physics-informed simulations to improve operational agility, quality, and speed to ...

IMC

Quantitative Researcher - Futures

Chicago, IL · On-site

... machine learning techniques to derive forecasts that will be combined with IMC's best-in-class ... Physics, Computer Science, Financial Engineering, or similar). * Several years (5+ Years) of ...

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

As of Aug 14, 2026, the average hourly pay for physics informed machine learning in Chicago, IL is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $26.25 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?

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 Chicago, IL?

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

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The top searched job categories for Physics Informed Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Physics Informed Machine Learning jobs?

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Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,989 per year, or $20.7 per hour.

Postdoctoral Appointee - AI/ML for Particle Accelerators

Argonne National Laboratory

Lemont, IL

$72K - $121K/yr

Full-time

Posted 22 days ago

Job description

Postdoctoral Researcher in artificial intelligence and machine learning (AI/ML) for advanced tuning and diagnosis of particle accelerators.

The Accelerator Operations and Physics (AOP) Group of the Accelerator Systems Division (ASD), Advanced Photon Source (APS) is hiring a postdoctoral researcher for a multi-year appointment.

The postdoctoral researcher will work to develop and deploy advanced AI/ML methods for analysis, tuning, and control of particle beams and accelerator systems, with applications to the APS injector and the newly-upgraded APS storage ring. This work will explore applications of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine tuning, diagnostics, and fault response. Experimental work on the existing APS injector accelerator complex and the new APS storage ring will be done to test the methods and assess their usefulness for accelerator operation.

Position Requirements

  • PhD completed in the past 5 years or soon-to-be completed in accelerator physics or a related field is strongly preferred. PhD graduates in other branches of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered.

  • Strong programming skills.

  • Proficiency in the Python programming language.

  • Working knowledge of UNIX or Linux.

Preferred Knowledge, Skills, and Experience

  • Experience with machine learning and accelerator operation.

  • Experience working with complex algorithms.

  • Experience using computing clusters for simulation and data analysis.

  • Experience with accelerator modeling and simulation codes, such as Elegant and Cheetah.

  • Experience with SDDS, Tcl/Tk, and scripting in Linux environment.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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