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Physics Informed Machine Learning Jobs in Wisconsin

Controls Algorithm Engineer

La Crosse, WI · On-site

$82K - $106K/yr

Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or ... Machine Learning. Applied Linear Algebra. Numerical Analysis. HVAC Fundamentals. Thermodynamics.

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

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

... informed decision-making across the institution. The Senior Data Analyst designs and develops ... Exposure to predictive analytics, AI, or machine learning concepts. Human Relations Skills: Ability ...

Data Solution Architect

Milwaukee, WI · On-site

$123K - $234K/yr

Stay informed about emerging trends and technologies in data engineering and cloud analytics to ... Familiarity with advanced analytics tools and concepts, including machine learning workflows.

Data Solution Architect

Madison, WI · On-site

$123K - $234K/yr

Stay informed about emerging trends and technologies in data engineering and cloud analytics to ... Familiarity with advanced analytics tools and concepts, including machine learning workflows.

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

... informed decision-making across the institution. The Senior Data Analyst designs and develops ... analytics, AI, or machine learning concepts. Human Relations Skills: • Ability to work ...

... Machine Learning and Analytics in conjunction with their ERP platform. You will bring a blend of ... Provides candid, meaningful feedback in a timely manner; and, Keeps leadership informed of progress ...

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Physics Informed Machine Learning information

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.

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:
Work-Study/Student - Applied Engineering, Manufacturing Technology & Trades

Work-Study/Student - Applied Engineering, Manufacturing Technology & Trades

Ntc

Wausau, WI

$15/hr

Part-time

Re-posted 2 days ago


Job description

Applications must be submitted by 12:01 a.m., December 31, 2027.

Thank you for your interest in a career at Northcentral Technical College (NTC). NTC offers outstanding career opportunities to work in a stimulating and diverse environment with state-of-the art facilities. If you have a desire to help students while positively impacting the community, we'd love for you to join our team!

Work-study or student positions are specifically intended for students, so if you are not a student with 6 or more credits in a semester you are not eligible to apply for the positions. To be eligible for a work-study position, you must be a recipient of work-study through Financial Aid.

If you have questions regarding your financial aid and whether or not you are eligible for a work-study position, please contact the Financial Aid Office at 715.675.3331, ext. 5862 or via email: financialaid@ntc.edu.

Thank you!

Job Summary

This is a paid position through work-study or student employment and allows students to grow in leadership, professional and soft skills. Areas may include Auto Shop, Nano Lab, Physics/Electronics area, Electromechanical, Machine Shop,Welding area,and Graphics area.

Academic Lab Assistants (those who set up the labs for use in the Applied Technology and Engineering area) will receive $15.00/hour. All other positions in this category will receive $14.00/hour. Positions in this area will report to Learning Coordinator, Engineering & Advanced Manufacturing.

Application Information

While there may not be an immediate need for a student employee in every area, Northcentral Technical College (NTC) accepts applications regardless, in order to create a pool for when there may be a need. Upon successful submission of your application, you will be considered for future part-time student employee opportunities and your application will be on file as a potential candidate who could possibly fill a position if or when the need arises.

NOTE:
It is in your best interest to apply for more than one position, in the event other candidates are already being considered for this position, you want to leave your options open for other positions. Student and Federal Work-Study employees may work up to 20 hours per week total.
You will need to re-apply at the beginning of each semester for work-study/student positions due to any school or work-study changes that may have occurred changing your status. Each semester, the applications for each position will be refreshed with new applications of those who re-apply to keep the applicant pool current for supervisors.

Essential Functions and Responsibilities

  • Handing out tools

  • Completing repairs on auto shop cars

  • Moving equipment and other auto related duties

  • Complete cleaning and minor maintenance of training equipment, disinfecting personal protective equipment and safety mats.

  • General maintenance of equipment such as cleaning, oiling, organizing general maintenance and repairs, completing minor maintenance of Criminal Justice vehicles to include checking engine fluid levels, fuel levels, tire pressure, driving vehicles to service facilities, maintaining accurate weekly records of vehicle maintenance.

  • This is not an all-inclusive list.

Minimum Qualifications Required

  • Must be an active student enrolled in at least 6 credits. Please note that students are not permitted to work in Federal Work-Study positions during scheduled class times.

  • For automotive-related positions: student must be in second year of Automotive program, and needs to be able to lift 50 pounds.

  • Must have valid driver's license and be able to meet NTC insurance carrier standards.

  • For Nano Lab and Physics/Electronics positions, applicants must have basic knowledge of soldering and putting together electrical components, have great communication skills and mechanical ability.

  • Maintain and set up/fix equipment in the physics, electronics and nanoscience labs. Applicants must be enrolled in the Nanotechnology Certificate program.

  • For Physics/Electronics students who have taken one or two physics and/or electronics courses preferred.

  • Welding related positions will move material and equipment, assist with inventory, clean and paint equipment, build racks, shelves, storage devices, lubricate fab equipment.

  • Use equipment and tools typically found in a welding shop to prep materials for student use (prep metal for the welding department including organizing, sorting and cutting).

  • Maintain welding equipment and protective gear.

Physical Demands

Carrying/Lifting 10-25lbs: High

Carrying/Lifting 25-50lbs: High

Carrying/Lifting more than 50lbs: High

Sitting: High

Standing/Walking/Climbing: High

Squatting/Crouching/Kneeling/Bending: High

Repetitive Hand/Foot Movement: High

Pushing/Pulling/Reaching Above Shoulder: High

Work Environment

Indoor/Office Work Environment: High

Outdoor Weather Conditions: N/A

Irritated or Agitated Individuals: Low

Hostile or Violent Individuals: Low

Hazardous Fumes/Odors/Toxic Chemicals: N/A

Confined Spaces (as identified by OSHA): N/A

Specific Vision, Hearing, Taste: Low

Work-Related Travel: Low