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Physics Informed Machine Learning Jobs in Pennsylvania

... machine learning. Exemplary software engineering skills are also required.Most importantly we are ... The candidate must have a PhD in Physics, Astronomy or a closely related field.This is a term ...

Senior Data Science Engineer

Philadelphia, PA ยท On-site

$116K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... physics, engineering, etc.) (Required) * 4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools ...

... Physics, or related field. * 5+ years of experience delivering AI/ML solutions in production environments * Strong expertise in: * Machine learning and deep learning * Statistical modeling and ...

... Physics, or related field. * 5+ years of experience delivering AI/ML solutions in production environments * Strong expertise in: * Machine learning and deep learning * Statistical modeling and ...

D. in Materials Science and Engineering, Computer Science, Electrical Engineering, Physics, or a related field, plus a strong record of research experience in applied machine learning, computer ...

Data Scientist

Conshohocken, PA ยท On-site +1

$175K/yr

Serve as a trusted partner in helping business leaders make data-informed decisions. Qualifications Required * 3+ years of hands-on experience in Data Science, Analytics, Machine Learning, or a ...

AML/Sanctions- Data Scientist- Associate

Philadelphia, PA ยท On-site

$63K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... make informed business decisions. They utilise advanced analytics techniques to help clients ... machine learning, NLP, and LLMs in relevant projects - Contribute to team efforts while enhancing ...

Showing results 41-60

Physics Informed Machine Learning information

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 in Pennsylvania are hiring for Physics Informed Machine Learning jobs?

Cities in Pennsylvania with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 6% Internship, 39% Full Time, 49% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Combustion Modeling Research Scientist

Combustion Research and Flow Technology, Inc. (CRAFT Tech)

Pipersville, PA โ€ข On-site

Other

Medical, Life, Retirement, PTO

Posted yesterday

New


Job description

CRAFT Tech has several immediate openings for Research Scientists. CRAFT Tech is seeking motivated and energetic individuals to join its highly talented team focused on developing solutions products for customers in government, academia and industry for multi-disciplinary applications in Aerospace, Defense, Energy and National Security.

Citizenship/Visa status must be included in your resume in order to be considered for employment.

CRAFT Tech is located in Pipersville, PA with satellite offices in Huntsville/AL, Oxford/MS and Charlotte/NC. CRAFT Tech offers competitive salaries and a comprehensive benefits package, including health benefits, life insurance, 401(k) plan, vacation and tuition assistance for further education.

CRAFT Tech has an immediate opening for a Hypersonics Research Scientist to support the analysis of hypersonic aerodynamics, aeroheating and trajectory modeling, applied to high speed/reentry vehicles, involving the use of advanced CFD/DSMC software and tools.

Job Description:
  • Collaborate with and support senior staff in supporting projects related to hypersonic flight vehicle flowfield/signature predictions and related research activities
  • Collaborate with CRAFT Techโ€™s partners in government, academia and industry
  • Requires excellent analytical, technical and communication skills
  • Report preparation, proposal development and participation in technical forums
  • M.S. or Ph.D. in Aerospace or Mechanical Engineering or Physics or Mathematics with a specialization in hypersonic/reentry physics, such as ablation, thermal protection systems, nosetip shape change, shock layer/wake chemistry, aerothermochemistry, boundary layer transition, DSMC/rarefied gas dynamics modeling, etc.
  • Excellent communication, very strong writing and interpersonal skills
  • Strong programming skills with Fortran, C/C++, Python or other scripting languages
  • Ability to work both independently on R&D developmental programs as well as in a team environment
  • US citizenship required as well as ability to obtain Security Clearance
Additional Desired Skills:
  • Strong background in multi-disciplinary numerical techniques, linear algebra, applied probability, machine learning, and design optimization
  • Knowledge of hardware-based computational acceleration (e.g., parallel and GPU computing)
  • Artificial Intelligence/Machine Learning (AI/ML)
Job Location:

Position is available at CRAFT Techโ€™s Pipersville, PA facility

2. Propulsion Research Scientist

CRAFT Tech has an immediate opening for a Propulsion Research Scientist.

Job Description:
  • Collaborate with and support senior staff in performing projects related to propulsive flowfield simulations and related high speed flow research activities
  • Collaborate with CRAFT Techโ€™s partners in government, academia and industry by providing pre-test planning support and post-test data analysis/interpretation
  • Interfacing with customers, including development of presentation material, etc.
  • Report preparation, proposal development and participation in technical forums
  • MS or Ph.D. in aerospace, mechanical engineering or related field, or related work experience
  • Very strong background with CFD modeling of multi-phase, turbulent reactive flows and shock dynamics
  • Skills in radiation transport (RT) modeling, computational electromagnetics (CEM), aero-optics (AO), etc.
  • Demonstrated experience in development of numerical algorithms for large-scale computational and data analysis software on parallel computing platforms
  • Strong programming skills with Fortran, C/C++, Python or other scripting languages
  • Excellent communication, very strong writing and interpersonal skills
  • Ability to work both independently on R&D developmental programs as well as in a team environment
  • US citizenship preferred. Exceptionally qualified candidates who are permanent resident aliens may also be considered
Additional Desired Skills:
  • Strong background in multi-disciplinary numerical techniques, linear algebra, applied probability, machine learning, and optimization approaches
  • Knowledge of hardware-based computational acceleration (e.g., parallel and GPU computing)
  • Experience using commercial software for CAD models, mesh generation, and CFD post-processing
  • Artificial Intelligence/Machine Learning (AI/ML)
Job Location:

Position is available at CRAFT Techโ€™s Pipersville, PA facility

3. Combustion Modeling Research Scientist

CRAFT Tech has an immediate opening for a Combustion Modeling Research Scientist.

Job Description:
  • Collaborate with and support senior staff in performing projects related to turbulent combustion modeling, reactive flow simulations and related research activities
  • Collaborate with CRAFT Techโ€™s partners in government, academia and industry
  • Interfacing with customers, including development of presentation material, etc.
  • Report preparation, proposal development and participation in technical forums
  • M.S. or Ph.D. in aerospace, mechanical engineering or related field
  • Very strong background in combustion, multi-phase turbulent reactive flows and shock dynamics as related to energetic materials
  • Excellent analytical and technical skills in chemical kinetics, thermodynamics and transport processes, including experience with software tools like Chemkin or Cantera
  • Demonstrated experience in development of combustion/physics models and numerical algorithms for large-scale computational and data analysis software on parallel computing platforms
  • Strong programming skills with Fortran, C/C++, Python or other scripting languages
  • Excellent communication, very strong writing and interpersonal skills
  • Ability to work both independently on R&D programs as well as in a team environment
  • US citizenship preferred. Exceptionally qualified candidates who are permanent resident aliens may also be considered
  • Strong background in multi-disciplinary numerical techniques, linear algebra, applied probability, machine learning, and optimization approaches
  • Experience using commercial CFD software, mesh generation, and CFD post-processing
  • Artificial Intelligence/Machine Learning (AI/ML)
Job Location:
  • Position is available at CRAFT Techโ€™s Pipersville, PA facility
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