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Physics Informed Machine Learning Jobs in Northfield, MN

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

... data-informed strategies. * Champion and implement advanced AI and machine learning techniques to innovate reporting solutions and provide predictive and prescriptive insights. * Conduct in-depth ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

... informed decision-making, performance monitoring, financial stewardship, and strategic planning ... machine learning, and process automation * Expert in areas of CI/CD, Continuous testing, and site ...

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

... informed decision-making, performance monitoring, financial stewardship, and strategic planning ... machine learning, and process automation * Expert in areas of CI/CD, Continuous testing, and site ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

... informed decision-making, performance monitoring, financial stewardship, and strategic planning ... machine learning, and process automation * Expert in areas of CI/CD, Continuous testing, and site ...

Weld Tech II

Eagan, MN · On-site

$22 - $24/hr

This Position will require the applicant to weld products in accordance with the wage/learning ... Move component parts and materials to various production work centers. • Keep supervisor informed ...

Physics Informed Machine Learning information

See Northfield, MN salary details

$5

$21

$26

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

As of Aug 21, 2026, the average hourly pay for physics informed machine learning in Northfield, MN is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $26.78 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 cities near Northfield, MN are hiring for Physics Informed Machine Learning jobs?

Cities near Northfield, MN with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Northfield, MN as of August 2026, with employment types broken down into 6% Internship, 40% Full Time, 47% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,865 per year, or $21.1 per hour.

Assistant or Associate Professor of Engineering Physics

St. Olaf College

Northfield, MN • On-site

$82K - $92K/yr

Full-time

Retirement, PTO

Posted 7 days ago


Job description

The Department of Physics and the Engineering Studies Program at St. Olaf College invite applications for a full-time, tenure track position in Engineering Physics at the Assistant or Associate Professor level to begin August 2027. This position offers the unique opportunity to contribute to the launch of a new Engineering Physics major designed to meet ABET accreditation standards.

Teaching responsibilities include five course equivalents per year primarily within the Engineering Studies Program, such as: 

  • Introductory and advanced design courses
  • Systems and Controls
  • Statics
  • Engineering Thermodynamics
  • Fluid Dynamics

Service expectations for this role include academic advising of students and leadership within the Engineering Studies Program as appropriate for the applicant's career stage.

Salary: $82,200 - $92,200 
Qualifications 
Required: 

  • PhD in an engineering discipline 
  • Engineering research that substantively involves undergraduates and is competitive for external funding (startup funds are available)

Preferred:

  • The flexibility to contribute to the physics academic program through teaching
  • Prior experience in teaching, working in industry, or conducting postdoctoral research


About the Department 
The Physics Department provides a collegial, supportive and intellectually vibrant environment for faculty and students. The department graduates around 25 students in a typical year and provides summer and academic year research opportunities to students in engineering, applied physics, soft matter physics, biophysics, geophysics, theoretical physics, and physics education. An Engineering Physics major designed to meet ABET accreditation standards is slated to launch in the 2027-28 academic year. The Physics Department is at the forefront of inclusive excellence work, drawing from recommendations of the TEAM-UP report (AIP, 2020). The department ranks nationally in the top ten as a producer of physics bachelor's degree recipients. It is housed in a Platinum LEED certified science building with facilities to support cutting-edge teaching, research, and fabrication.

For more information about department efforts to promote inclusivity and sense of community, please visit our TEAM-UP website, wp.stolaf.edu/physics/physics/team-up/. For more information about the department, visit wp.stolaf.edu/physics.

We strive to be a campus of welcome where students, faculty, and staff thrive by bringing their full humanity-gender identity, sexuality, race, ethnicity, national origin, socioeconomic class, disability, religion, spirituality, and age-to St. Olaf each day. Our goal is to generate conversations and processes that over time create greater clarity, transparency, trust, cooperation, consensus, respect, and measurable outcomes. Practices that support this goal include listening, cultivating a growth mindset, respecting those with different views, being informed by data, and understanding that the work is ongoing, collaborative, organic, and ever evolving. We encourage applicants to familiarize themselves with our Community and Belonging website to learn more about our commitment and to identify how you might contribute to these efforts. 
How to Apply 
Throughout your materials, include how you would contribute to the development of a diverse and inclusive learning community at our college through your teaching, research, and/or service. A complete application includes the following: 
References: Provide contact information for three professional references who can speak to your abilities in teaching and scholarship. Letters will be solicited from references by the search committee for candidates who advance to the interview stage.  
Supporting Documents and URLS:

  1. Cover letter outlining your qualifications and why you are interested in this particular position at St. Olaf College, a liberal arts institution. Please outline your vision for contributing to the Engineering Studies Program through leadership and service such as assisting with ABET accreditation, advising engineering students, expanding internship opportunities, and building connections with industry.
  2. Curriculum vitae
  3. Graduate transcripts (unofficial)
  4. Teaching Statement (no more than three pages): Describe your approach to teaching and pedagogical strategies in engineering. Provide specific details addressing engineering design courses and core engineering courses. Briefly indicate any physics courses you would be comfortable teaching as need or interest allow.
  5. Professional Statement (no more than five pages): Clearly lay out the research you plan to complete over the next five years, including the role that undergraduates will play and strategies for attracting external funding

Review of applications will begin on October 1, 2026, and will continue until the position is filled. Applications received by that date will receive fullest consideration. Finalist interviews are expected in December. Questions about the position, department, or College may be directed to Brian Borovsky, Search Committee Chair, at tt2027engr@stolaf.edu. 
 

Join Our Community - Work at St. Olaf!

Founded in 1874, St. Olaf College is a residential, coeducational liberal arts college with approximately 3,000 students and 800 faculty and staff. The college is located on a picturesque 300-acre campus in Northfield, Minnesota, a vibrant, historic river town of 20,000 located 45 minutes south of culturally rich and diverse Minneapolis and St. Paul. 

The college offers an academically rigorous, nationally ranked liberal arts education that fosters the development of the whole person in mind, body, and spirit and emphasizes learning in an inclusive and globally engaged community. We encourage applications from candidates committed to multicultural understanding and the enrichment of our diverse community.

The college offers a comprehensive benefits package, including a 9% retirement match, contributions to eligible employees' health savings accounts, a significant tuition discount (up to a 90% reduction) at ACM, GLCA, and ELCA colleges and universities for employees' children, and generous paid time off. For a full review of the college's benefits, please see the summary of our benefits here: https://wp.stolaf.edu/hr/benefits/

To provide a safe and secure educational environment, St. Olaf College verifies the accuracy of all credentials presented by applicants and conducts a criminal background check on every new hire.

A summary of the Flexible Work Policy for staff: https://wp.stolaf.edu/hr/flexible-work-policy/

A link to our Community and Belonging page: https://wp.stolaf.edu/equity-inclusion/

A virtual campus tour: https://www.stolaf.edu/multimedia/play/?p=483

An overview of Northfield: https://wp.stolaf.edu/admissions/visit/northfield/

An overview of the Twin Cities: https://wp.stolaf.edu/admissions/visit/twincities/

For Staff Application Assistance:

hrstaff@stolaf.edu

507-786-3068

For Faculty Application Assistance:
facultysearch@stolaf.edu
507-786-3356

Nondiscrimination Policy

St. Olaf College does not discriminate on the basis of sex, race, color, creed, national origin, gender identity, gender expression, sexual orientation, age, religion, disability, marital status, veteran status, or status with regard to public assistance.  St. Olaf College prohibits discrimination and harassment based upon these and any other legally protected status in any education program or activity that it operates, including in admissions and employment. 


Inquiries about this nondiscrimination policy may be referred to St. Olaf College's Director of Equal Opportunity, the U.S. Department of Education's Office for Civil Rights, or both. St. Olaf's Director of Equal Opportunity (who serves as the College's Title IX, Title VI, and Section 504 Coordinator) is Pamela McDowell, Tomson Hall, mcdowell@stolaf.edu, (507) 786-3465.