1

Physics Informed Machine Learning Jobs in British Columbia

... machine learning and data analytics, expert systems, digital twins, and dynamic process simulation ... Bachelor's degree in electrical, mechatronic, computer, chemical, engineering physics, or mining ...

... Intelligence (AI) and Machine Learning (ML) across our Development and Engineering (D&E ... Graduate degree in Computer Science or Engineering or Physics with a focus on AI, ML, or DL, or the ...

Transform complex data into actionable insights that help teams make informed business decisions ... AI, machine learning, and data-driven solutions. Qualifications * Bachelor's degree in Data ...

New

... machine learning pipelines, intelligent workflows, and automated decision-making. Beyond core ... data for informed engineering and product decisions. * Technical Leadership & Mentorship:

Its solutions combine machine learning, automation, and real-time threat intelligence with ... Maintain clean CRM with accurate stages, next steps and close plans to enable informed decisions ...

... metrics, making informed trade-offs, and delivering measurable business outcomes. The ideal ... machine learning, and LLM-based systems. * Hands-on experience with LLMs, including API ...

Showing results 21-40

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 British Columbia? For Physics Informed Machine Learning jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in British Columbia look for? The top searched job categories for Physics Informed Machine Learning jobs in British Columbia are:
Infographic showing various Physics Informed Machine Learning job openings in British Columbia as of July 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution.
Advanced Process Control (APC) Engineer

Advanced Process Control (APC) Engineer

Andritz

Hybrid

Other

Medical, Retirement, PTO

Posted 4 days ago


Andritz rating

8.1

Company rating: 8.1 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

149th of 485 rated machine equipment manufacturers


Job description

Every day, ANDRITZ continues to deliver successful innovative solutions to our customers globally. Why are we so successful? Because we are passionate and love what we do! We are at the forefront of future engineering technologies, with solutions that ensure the success of our clients in key industries that are shaping the future of the world we live in.

ANDRITZ has an immediate opportunity for an Advanced Process Control (APC) Engineer located in Richmond, BC. The APC Engineer will work collaboratively with our project teams to deliver exceptional value through the optimization of our customers' industrial processes by design and application of various advanced automation, digitalization, and process control technologies, including: model predictive control, machine learning and data analytics, expert systems, digital twins, and dynamic process simulation.

What You Will Be Doing

Here's an overview of your responsibilities and how you can leverage your expertise:

  • Evaluate operating processes to identify areas for potential improvement
  • Design APC solutions, including control strategies, and implement our technologies to optimize process performance
  • Use simulation with first principles models to validate and benchmark new control strategies
  • Collect and analyze engineering and operational plant data to build empirical dynamic process models
  • Configure and tune multivariable predictive controller loops parameters
  • Work with control room operators and process and instrument engineers to complete commissioning and control response tests
  • Provide commissioning and start-up support for the completed optimization applications
  • Set up and execute controller simulation and acceptance testing for large scope optimization projects

What We Have to Offer

In exchange for your commitment, we offer the following:

  • A dynamic and innovative work environment where your expertise and ideas are valued
  • Financial support for professional development and certifications
  • Compensation that increases with capability and expertise and a comprehensive benefits package, including company-matched retirement plan and a Health Spending Account
  • Paid maternity and parental leave program to support employees during this significant and exciting life event
  • Competitive paid-time-off policies that includes vacation, paid holidays, and sick days
  • A positive and collaborative culture that focuses on our core values and behaviors
  • Flexible hybrid work model with a blend of in-office and remote work
  • Regular company events and social activities to foster camaraderie

 

What We're Looking For

When selecting candidates, we will be looking for the following essential skills, abilities, and experience:

  • Bachelor's degree in electrical, mechatronic, computer, chemical, engineering physics, or mining engineering
  • Registered, or eligible for immediate registration with EGBC
  • Minimum of five (5) years' experience in automation design, configuration, PLC programming, control system configuration, and troubleshooting and/or advanced process control
  • Experience in the mining/mineral processing industry an asset
  • Resourceful, self-managed, and goal driven but still able to work effectively in a team
  • Strong interpersonal, verbal, and written communication skills
  • Legally authorized to work in Canada
  • Ability and willingness to travel to domestic and international locations is a must. Travel is anticipated to be 20-30%

Other valued, but non-essential skills, abilities, and experience include:

  • Knowledge of predictive control theory and experience with an industrial APC platform
  • Simulation of industrial processes
  • Proficiency with Python, R, and SQL
  • Consulting engineering experience
  • Instrumentation and electrical troubleshooting
  • Commissioning, construction, and start-up experience

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.


What Andritz employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom