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Physics Informed Machine Learning Jobs in Wisconsin

Research Assistant

Downing, WI

$21 - $31/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The candidate should be well-informed about the scientific method, human subjects research, and ... in machine learning and data science; advanced degrees may offset experience requirements ...

US Tech - AI Engineering Senior Associate

Milwaukee, WI · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Director | Enterprise Analytics

Green Bay, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Communicate data insights and governance strategies clearly to stakeholders for informed decision ... Experience with Healthcare Analytics, Machine Learning, predictive modeling, and Artificial ...

WI · On-site

$140 - $190/hr

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific ... Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch

New

WI · On-site

$80 - $110/hr

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific ... Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch

New

US Tech - AI Engineering Manager

Milwaukee, WI

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

NGA AI Engineer Manager

Milwaukee, WI

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Dosimetrist - Remote

Green Bay, WI · Remote

$50.54 - $75.81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Medical Dosimetry or Physics or two years experience as a Dosimetrist is ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Dosimetrist - Remote

Green Bay, WI · On-site +1

$50.54 - $75.81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Medical Dosimetry or Physics or two years experience as a Dosimetrist is ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

WI · On-site

$100 - $232/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informed opportunities. The role is highly visible within the enterprise and will be a key ... Experience with predictive analytics, machine learning, financial modeling, or data science ...

WI · On-site

$100 - $232/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informed opportunities. The role is highly visible within the enterprise and will be a key ... Experience with predictive analytics, machine learning, financial modeling, or data science ...

WI · On-site

$100 - $232/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... informed opportunities. The role is highly visible within the enterprise and will be a key ... Experience with predictive analytics, machine learning, financial modeling, or data science ...

... 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 ...

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 are popular job titles related to Physics Informed Machine Learning jobs in Wisconsin?

For Physics Informed Machine Learning jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Physics Informed Machine Learning jobs?

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

Lead Engineer- Modeling & Simulation

Faith Technologies

Menasha, WI • Hybrid

Full-time

Re-posted 12 days ago


Faith Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

208th of 449 rated engineering


Job description

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And as "one of the Healthiest 100 Workplaces in America" is focused on the mind/body/soul of team members through our Culture of Care.

Faith Technologies Inc. (FTI) is searching for a Lead Systems Performance Modeling & Simulation Engineer to support the R&D product group in Menasha, WI.

As a Lead Systems Performance M&S Engineer in the R&D group, you will be responsible for developing advanced physics-based modeling and simulation environments for electrical, thermal, and mechanical systems used in distributed energy resources and power distribution. Collaborating with subject matter experts, product strategy teams, and systems engineers, you will create accurate and efficient simulations that meet requirements and support product development. Furthermore, you will develop and oversee the implementation of modeling and simulation processes as critical milestones for development and validation of technologies and products within the Product Engineering organization. Through your expertise, you will play a key role in driving innovation and performance improvements in distributed energy and power distribution systems.

Minimum Requirements:

  • Bachelor's degree in electrical and mechanical engineering or equivalent
  • 8+ years of experience in systems simulation
  • Proficiency in time-domain simulation software such as MATLAB, Simulink, or similar tools for pure simulation or real time operating platforms
  • Knowledge of multi-physics modeling software such as Simscape, Simcenter Amesim, GT Suite, or similar
  • Proficient in hardware-in-the-loop (HIL), model-in-loop (MIL), and software-in-the-loop (SIL) simulation platforms, including the integration of plant and controls models
  • Experience with HIL platforms including dSpace, speedgoat, NI, OpalRT or others for testing of controls systems
  • Strong understanding of renewable energy systems including solar, wind, power conversion, and battery energy storage systems.
  • Knowledge of power distribution concepts including uninterrupted power supply, power converters, switchboards, and other power electronics
  • Familiarity with thermal management systems for battery energy storage, HVAC systems for power distribution enclosures, liquid cooling systems and their characterization as required for performance-level modeling and simulation
  • Demonstrated implementation of real-world power generation and distribution problems into complex modeling and simulation platforms
  • Demonstrated development and implementation of modular component models with scalable flexibility for various levels of simulation fidelity

What gives you an edge?

  • Advanced degree in electrical or mechanical engineering with demonstrated simulation experience
  • Strong understanding of related regulatory frameworks and industry standards related to the relevant energy technologies: Microgrid, Power generation, and Energy storage
  • Experience with Python, C++, or similar environments for development of optimization tools and controls logic
  • Experience with machine learning models generated from data
  • Experience with integration of technoeconomic analysis with systems modeling and simulation
  • Experience with development of SIL, MIL, and HIL platforms for verification and validation of controls software
  • Experience using version control for modeling and simulation including Git or other similar tools

Travel: 5-10%

Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday. However, work may be performed at any time on any day of the week to meet business needs.

Work Location: Must be onsite in Menasha, WI 3 days a week.

Menasha, WI offers an excellent quality of life with a low cost of living, short commute times, and a strong sense of community. Located in the heart of the Fox Valley and along Lake Winnebago, the area provides access to outdoor recreation, safe neighborhoods, and top-rated schools. Just minutes from Appleton and within easy reach of Green Bay and Milwaukee, Menasha combines small-town living with convenient access to dining, entertainment, sports, and regional travel, making it an ideal place to relocate and build a long-term career.

KEY RESPONSIBILITIES

  • Develop physics-based modeling and simulation environment for a variety of electrical, thermal, and mechanical systems for distributed energy resources and power distribution
  • Conduct product architecture trade studies and optimization to ensure maximized performance and minimal costs
  • Integrate cost, weight, and specification data of components, systems, and renewable energy fuels into simulation models for technoeconomic analysis of architecture options
  • Collaborate with subject matter experts to characterize components and systems in a simulation environment and communicate analysis results
  • Collaborate with product strategy and systems engineers to develop models and simulation according to requirements
  • Develop proof-of-concept controls algorithms in simulation environment to support architecture trade studies and provide functional recommendations to software development teams
  • Utilize DOE, optimization methods, and data driven modeling and analysis tools
  • Use models and simulation platforms to verify and validate controls software
  • Lead, guide, and manage a team of simulation engineers

The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

#LI-Hybrid

How Does FTI Give YOU the Chance to Thrive?

If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future.

Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success.

FTI is a "merit to the core" organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package.

Benefits are the Game-Changer

We provide industry-leading benefits as an investment in the lives of team members and their families.You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today!

Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

Employment is contingent upon successfully passing a background and drug test


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