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Physics Informed Machine Learning Jobs in Southbridge, MA

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA · On-site

$50K - $60K/yr

Scientific machine learning, including physics-informed neural networks, operator-learning methods, surrogate modeling, and data-driven modeling of physical systems. Preferred Qualifications

Waters Corporation

AI Architect

Milford, MA · On-site

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Stay informed on AI developments and assess their relevance to Waters Qualifications * Bachelor ...

New

Waters Corporation

AI Architect

Milford, MA

$69 - $91/hr

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Stay informed on AI developments and assess their relevance to Waters * Bachelor's or Master ...

New

Waters Corporation

AI Architect

Milford, MA · On-site

This includes generative AI, machine learning, automation, and future agent-based capabilities ... Stay informed on AI developments and assess their relevance to Waters Qualifications * Bachelor ...

New

Waters Corporation

AI Engineer II

Milford, MA

$106K - $146K/yr

Build solutions leveraging large language models (LLMs), machine learning models, and knowledge ... physics, and biology. We collaborate with customers around the world to advance the release of ...

Waters Corporation

AI Engineer II

Milford, MA · On-site

$106K - $146K/yr

Build solutions leveraging large language models (LLMs), machine learning models, and knowledge ... physics, and biology. We collaborate with customers around the world to advance the release of ...

Waters Corporation

AI Engineer II

Milford, MA

$106K - $146K/yr

Build solutions leveraging large language models (LLMs), machine learning models, and knowledge ... physics, and biology. We collaborate with customers around the world to advance the release of ...

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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 Southbridge, MA is $20.79, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $26.39 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 Southbridge, MA are hiring for Physics Informed Machine Learning jobs?

Cities near Southbridge, MA with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you

Post-Doctoral Fellow

Worcester Polytech

Worcester, MA • On-site

$50K - $60K/yr

Full-time

Retirement

Re-posted 9 days ago

Job description

JOB TITLE

Post-Doctoral Fellow

LOCATION

Worcester

DEPARTMENT NAME

Biomedical Engineering - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for two postdoc research positions. We are looking for highly motivated, collaborative, and enthusiastic researchers with expertise in fluid-structure interaction, computational and experimental fluid mechanics, and/or scientific machine learning, with applications to cardiovascular diseases and medical devices. The initial appointment is forone year, with the possibility of renewal based on performance and funding availability. Successful candidates are expected to commit to aminimum two-year appointment.

JOB DESCRIPTION

AIMCardio Lab

The lab conducts cutting-edge research incomputational and experimental fluid-structure interaction, cardiovascular biomechanics, digital health, and AI-driven modeling. The laboratory maintains long-standing collaborations with leading hospitals and medical centers across the United States, including the Hospital for Sick Children (Toronto), Children's Hospital of Philadelphia (Philadelphia), and Columbia University Irving Medical Center (New York). We also collaborate closely with major medical device companies, including Abbott, Edwards Lifesciences, Boston Scientific, and Medtronic, to develop next-generation cardiovascular technologies and translational solutions. More information about our research can be found at:AIMCardioLab.wpi.edu

Required Qualifications

  • PhD. in Mechanical Engineering, Biomedical Engineering, Aerospace Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or a closely related field.

  • Demonstrated research excellence through publications for postdoc applicants in one of the following areas:

  • Experimental fluid mechanics and advanced flow visualization techniques (e.g., Particle Image Velocimetry (PIV), flow imaging, or related experimental methods).

  • Fluid-structure interaction (FSI), computational fluid dynamics (CFD), finite element analysis (FEA), or multiphysics simulations, with strong programming and computational skills.

  • Scientific machine learning, including physics-informed neural networks, operator-learning methods, surrogate modeling, and data-driven modeling of physical systems.


Preferred Qualifications

  • Experience conducting research in physiological fluid mechanics and cardiovascular flow systems.

  • Experience contributing to competitive research grant proposals

  • Experience in innovation-driven technology development, intellectual property generation, or commercialization activities (e.g., invention disclosures or patent applications).

  • Strong mentoring skills and a demonstrated ability to supervise graduate students and undergraduate researchers.

  • Excellent written and verbal communication skills and the ability to work effectively in interdisciplinary research teams.


What We Offer

  • Opportunities to work on high-impact projects at the intersection of cardiovascular biomechanics, artificial intelligence, and translational medicine.

  • Access to state-of-the-art computational and experimental research facilities.

  • Extensive collaborations with leading clinicians, researchers, and medical device companies.

  • A highly interdisciplinary and supportive research environment with strong opportunities for career development in academia, industry, and entrepreneurship.


Application Instructions:

Applications will be reviewed on a rolling basis and will remain open until all positions are filled. Please submit the following materials as a single PDF file:

  • A brief cover letter outlining your expertise, research background, and research interests

  • A current curriculum vitae (CV)

  • Academic transcripts for all completed degrees (Bachelor's, Master's, and Ph.D., if applicable)

  • Full PDF copies of 3-5 representative peer-reviewed journal publications

  • Contact information for three professional references

Compensation:

Salary: $50,000 - $60,000 per year. Salary is based on related experience, expertise, and internal equity. WPI's benefits package includes a robust retirement match, wellness perks, tuition assistance and more!

FLSA STATUS

United States of America (Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.

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