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Physics Informed Machine Learning Jobs in Freeport, ME

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

As of Jun 8, 2026, the average hourly pay for physics informed machine learning in Freeport, ME is $20.80, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $26.39 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.

Physics Informed Machine Learning jobs near you

Engineering/Science Postdoctoral Fellow

Northeastern University

Portland, ME • On-site

$50K - $68K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

About the Opportunity
About the Roux Institute
The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high-growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.
Job Summary
The Postdoctoral Research Associate will engage in both fundamental and applied research in the field of advanced manufacturing, with direct relevance to aerospace lightweighting, hypersonic systems, and naval shipbuilding. The Fellow will contribute to ongoing research programs by developing experimental methodologies, computational models, and performing hands-on laboratory investigations.
Key responsibilities include generating high-impact scientific publications and technical reports, contributing to additive manufacturing workforce development programs, and mentoring undergraduate and graduate students engaged in related projects. The Fellow will work in close collaboration with Professor Andrew Neils on the Roux Institute's Engineering team at both the Portland, ME and Brunswick, ME campuses.
This position will support several projects funded by the U.S. Department of Defense. Background checks and other clearances may apply.
Minimum Qualifications
Required
  • Ph.D. earned in mechanical engineering, materials science, physics, or a closely related discipline.
  • Demonstrated expertise in the characterization and testing of crystalline materials, including metals and ceramics.
  • Strong background in additive manufacturing processes and the mechanics of materials.
  • Ability to work both independently and as part of a multidisciplinary team.

Preferred
  • Familiarity with data-driven engineering methods, particularly those leveraging artificial intelligence or machine learning.

Key Responsibilities & Accountabilities
1. Initiate, Execute, and Complete Advanced Manufacturing Related Research and Training Programs (50%)
  • Design and execute experimental investigations into process-structure-property relationships for advanced engineering materials (e.g., high temperature refractory alloys and their coatings).
  • Develop curriculum and deliver hands-on cold spray additive manufacturing training and lab technician instruction as part of active Department of Defense workforce development programs.
  • Operate cold spray additive manufacturing systems, with occasional contributions to powder bed fusion and directed energy deposition programs.
  • Collect process and property data and develop data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python.
  • Develop physics-based computational models (e.g., finite element analysis) to complement and contextualize experimental findings.
  • Apply CAD tools such as ANSYS and SolidWorks to produce geometric models for experimental specimens, including metamaterial and lattice structures as needed.

2. Prepare and Write Technical Reports and Manuscripts for Peer Review (25%)
  • Lead technical writing of sponsored program reports.
  • Lead or contribute to three or more peer-reviewed publication submissions per year.

3. Mentoring, Collaboration, and Support (25%)
  • Mentor and train undergraduate and graduate students.
  • Support Roux Engineering team proposal development.
  • Perform lab management duties as needed.
  • Support Roux external industry and academic collaborations.
About the Roux Institute
The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.
Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
108S
Expected Hiring Range:
$60,315.00 - $85,192.50
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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