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Physics Informed Machine Learning Jobs in Cincinnati, OH

AI Solutions Architect

Cincinnati, OH · On-site

$60.50 - $79.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

... Physics, Analytics, etc.) or possess equivalent work experience. * Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like ...

Data Analyst

Mason, OH · On-site +1

... machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns. Job ...

... machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns. Job ...

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 ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

... informed decision-making, improve employee safety, and lessen their environmental footprint while ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

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

As of Jul 14, 2026, the average hourly pay for physics informed machine learning in Cincinnati, OH is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $24.47 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 Cincinnati, OH? For Physics Informed Machine Learning jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Cincinnati, OH look for? The top searched job categories for Physics Informed Machine Learning jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Physics Informed Machine Learning jobs? Cities near Cincinnati, OH with the most Physics Informed Machine Learning job openings:
Postdoctoral Research Fellow, Neutrino Physics Group, Dept. of Physics, College of Arts & Science

Postdoctoral Research Fellow, Neutrino Physics Group, Dept. of Physics, College of Arts & Science

University of Cincinnati

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


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Job description

Postdoctoral Research Fellow, Neutrino Physics Group, Dept. of Physics, College of Arts & Science
Posting Start Date: 6/2/26
Work Arrangement: Onsite
Current UC employees must apply internally via SuccessFactors
Next Lives at the University of Cincinnati
Founded in 1819, the University of Cincinnati ranks among the nation's best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called "the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu.
UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC's success.
Job Overview
The Experimental Neutrino Physics Group at the Department of Physics within the University of Cincinnati's College of Arts & Sciences invites applications for a Postdoctoral Fellow position centered on data analysis using advanced fitting methods, and the development of state-of-the-art Deep Learning-based particle identification and reconstruction tools for the DUNE and NOvA neutrino experiments. The position is expected to begin August 15, 2026.
Research at the Experimental Neutrino Physics Group at the University of Cincinnati focuses on searches for Beyond the Standard Model (BSM) oscillations and advanced particle identification and reconstruction techniques. The group members hold leading roles on the DUNE and NOvA experiments, and are contributing to the construction and installation of the DUNE Far Detectors through deployment of a Cold Electronics Quality Control Testing facility. Further, the Department's High-Energy Physics group has active programs in both experimental and theoretical research, with experimental efforts including the BELLE, BELLE II, and LHCb Intensity Frontier experiments, and theoretical efforts focused on flavor physics and dark matter.
The selected candidate will be expected to, under direct supervision, make substantial contributions to research on DUNE and NOvA, with potential opportunities including DUNE BSM studies with advanced fitting methods, improved Machine Learning reconstruction tools for both DUNE and NOvA applications, and leadership of the Cincinnati DUNE Cold Electronics Testing during DUNE Far Detector installation. The candidate will be expected to work with applications of machine learning algorithms and/or advanced statistical and computational methods to particle physics problems. This position will be preferably based at the University of Cincinnati.
Essential Functions
  • Duties will be focused on the Deep Underground Neutrino Experiment (DUNE) and the NuMI Off-Axis Electron Neutrino Appearance (NOvA) Experiment.
  • Will conduct research in experimental particle physics centered on Data Analysis for the DUNE and NOvA neutrino experiments;
  • Will take a leadership role on coordination of DUNE's Cold Electronics Quality Control Testing.
  • Assist in manuscript writing and presentation of research results.

Minimum Requirements
  • Doctoral Degree in Physics or a closely related area;
  • Academic research background in analysis of Experimental High Energy Physics data sets.

Application Process
Interested candidates should create an Applicant profile and submit an online application.
Please upload:
  • A cover letter with no more than one page;
  • A current curriculum vitae including a list of publications (if applicable);
  • A statement describing research interests.

Please use the Additional Documents option as needed for these documents.
Applicants should arrange to have at least three letters of reference sent separately to ucphysics@ucmail.uc.edu. All applicants will also complete a Team Culture statement as part of the application process.
Review of applications will begin on June 28, 2026, and continue until the position is filled. Interested candidates should contact Prof. Alex Sousa (alex.sousa@uc.edu) for more information on the position.
Compensation and Benefits
UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. (UC Benefits) Eligibility may vary by position and FTE status. Highlights include:
Salary/Hourly Pay Rate Information:
Comprehensive Tuition Remission
UC provides tuition remission for you and your eligible dependents, covering tuition costs for nearly all undergraduate and graduate programs offered by the university.
Robust Retirement Plans
As a UC employee, you won't contribute to Social Security (except Medicare). Instead, you'll choose between state pension plans (OPERS, STRS) or an Alternative Retirement Plan (ARP), with UC contributing 14-18% of your salary based on position.
Real Work-Life Balance
UC prioritizes work-life balance with a generous time-off policy, including:
Vacation and sick time
11 paid holidays and additional end-of-year paid time off (Winter Season Days)
6 weeks of paid parental leave for new parents
Additional Benefits Include:
  • Competitive salary based on experience
  • Comprehensive health coverage (medical, dental, vision, prescription)
  • Flexible spending accounts & wellness programs
  • Professional development & mentorship opportunities

To learn more about why UC is a great place to work, please visit our Careers Page.
UC is an E-Verify employer. If hired into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment verification process. Click here for a list of acceptable documents.
Important: To apply you must create a profile and submit a complete job application through the UC applicant portal. We are unable to consider "easy apply" applications submitted via other websites. For questions about the UC recruiting process or to request accommodations with the application, please contact UC HR at jobs@uc.edu.
Equal Opportunity Employer. Building a workplace where all qualified applicants will receive consideration for employment, including Individuals with Disabilities and Protected Veterans.
REQ: 102745

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