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Physics Informed Machine Learning Jobs in Rochester, MN

Candidates should have an established background in X-ray physics and imaging science. Skills in the development of machine learning algorithms for medical imaging tasks are desirable. Proficiency in ...

Candidates should have an established background in X-ray physics and imaging science. Skills in the development of machine learning algorithms for medical imaging tasks are desirable. Proficiency in ...

Candidates should have an established background in X-ray physics and imaging science. Skills in the development of machine learning algorithms for medical imaging tasks are desirable. Proficiency in ...

Candidates should have an established background in X-ray physics and imaging science. Skills in the development of machine learning algorithms for medical imaging tasks are desirable. Proficiency in ...

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

As of Jun 19, 2026, the average hourly pay for physics informed machine learning in Rochester, MN is $20.39, according to ZipRecruiter salary data. Most workers in this role earn between $12.69 and $25.91 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 Rochester, MN? For Physics Informed Machine Learning jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Rochester, MN look for? The top searched job categories for Physics Informed Machine Learning jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Physics Informed Machine Learning jobs? Cities near Rochester, MN with the most Physics Informed Machine Learning job openings:
Research Fellow - Radiation Oncology

Research Fellow - Radiation Oncology

Mayo Clinic

Rochester, MN • On-site

$195.25/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

134th of 873 rated healthcare providers


Job description

Job Description
Post-Doctoral Research Position in Medical Physics:
The Department of Radiation Oncology at Mayo Clinic, Rochester, MN invites applications for a two-year post-doctoral research fellowship in the Division of Medical Physics. The successful candidate will focus on development and testing of imaging tools for MRI-only radiotherapy workflows in upper abdomen, specifically: development and/or validation of 1) motion characterization and assessment tools using MRI (i.e., "4D-MRI"); 2) development and/or validation of novel synthetic CT. The project development team will include medical physicists, radiation oncologists, medical dosimetrists and informaticians; the selected individual will also collaborate directly with MRI scientists working in industry. This project also has a human subjects' research component, with the successful candidate helping to support a Mayo Institutional Research Board-approved clinical pilot study. Thus, this project would provide a comprehensive foundation for launching a future career in medical physics, as well as in any related field.
Requirements:
Qualified candidates must have earned a Ph.D. in physics, medical physics, engineering or computer science (or related field involving machine learning) and must demonstrate a strong knowledge base working with medical images, image processing, custom software development and machine learning. Preference will also be given to candidates available to start employment in July-August of 2026 and who are verbally committed to staying in this role through June, 2028 (or approximately two years).
As part of the application packet, candidates must include a cover letter with their curriculum vitae. Candidates must also provide contact information (e-mail address and telephone number) for three professional/educational references. (Candidates' references will only be requested after initial candidate screening.)
Facilities and Environment:
The Department of Radiation Oncology at Mayo Clinic Rochester is large, dynamic and diverse, with an exceptional breadth of clinical practice.
Staffing Summary:
The medical physics division consists of approximately 75 technical staff (physicists, physics residents and medical physics assistants), one third of whom focus on proton therapy.
Technologies offered:
  • The external beam radiotherapy photon practice treats greater than 250 patients per day utilizing an Edge Linac, two Ethos Linacs, three TrueBeam Linacs and a Gamma Knife ICON. Treatment procedures employ all conventional radiation therapy modalities, adaptive radiation therapy, and special procedures that include IORT (Linac and Mobetron), TBI, TSET, SRS, SBRT, SFRT, and (kV) Orthovoltage.
  • The Proton Beam Therapy Center, which opened in 2015, treats almost 100 patients per day (on average) and is supported by a Hitachi synchrotron with four spot scanning gantries and a single fixed beam room. Next year, an additional Hitachi synchrotron with two spot scanning gantry treatment rooms will be added to the facility, significantly expanding the number of patients we can accommodate.
  • The Brachytherapy practice includes HDR (PHDR, GYN, Breast, Sarcoma, Rectum and Bile Duct) and LDR (PSI, Eye Plaques, and Cardiac) and is equipped with two dedicated GE CT Simulators and three HDR afterloaders (Bravos).
  • Our proton and photon beam practices are supported by five Siemen's CT Simulators and a 3.0T GE MRI (Simulator) with a second GE 1.5T MRI (Simulator) to be installed and commissioned in early 2027.

Additional educational opportunities:
The Mayo Graduate School offers a CAMPEP-accredited medical physics certificate program. Individuals with non-CAMPEP degrees (i.e., with non-medical physics Ph.D.s) that successfully graduate from this certificate program quality to compete for the medical physics clinical residency matching program. Medical physics clinical residency is a requirement for pursuing a career as an ABR-certified clinical medical physicist. Voluntary participation in this optional program will be strongly encouraged for the successful candidate, should they wish to pursue a career in medical physics.
Radiation Oncology Contacts (for questions):
  • Erik J. Tryggestad, Ph.D.

Associate Professor of Medical Physics, Mayo Clinic College of Medicine
Consultant, Department of Radiation Oncology
Tryggestad.Erik@mayo.edu
  • Eyesha Younus, Ph.D.

Assistant Professor of Medical Physics, Mayo Clinic College of Medicine
Senior Associate Consultant, Department of Radiation Oncology
Younus.Eyesha@mayo.edu
Qualifications
Qualified candidates must have earned a Ph.D. in physics, medical physics, engineering or computer science (or related field involving machine learning) and must demonstrate a strong knowledge base working with medical images, image processing, custom software development and machine learning. Preference will also be given to candidates available to start employment in July-August of 2026 and who are verbally committed to staying in this role through June, 2028 (or approximately two years).
About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919