Application Scientist
Quebec, QC · On-site
Contribute to scientific publications and stay informed of scientific advances in the field ... Cultivate your passion by being curious, imaginative, and committed to continuous learning. * Grow ...
Quebec, QC · On-site
Contribute to scientific publications and stay informed of scientific advances in the field ... Cultivate your passion by being curious, imaginative, and committed to continuous learning. * Grow ...
Quebec, QC · On-site
Contribute to scientific publications and stay informed of scientific advances in the field ... Cultivate your passion by being curious, imaginative, and committed to continuous learning. * Grow ...
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.
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.
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.

Full-time
Retirement, PTO
Posted 9 days ago
Are you looking to grow within a high-tech company where innovation, collaboration, and professional development are at the heart of every project? Do you enjoy tackling challenges, proposing ideas, improving processes, and making a tangible contribution to a team's success? Then you might be the person we're looking for!
Coractive is a leader in the development and manufacturing of specialized optical fibers and fiber lasers. Our technologies are used worldwide in cutting-edge sectors such as telecommunications, medical, defense, industry, and scientific research. By joining our team, you will thrive in a stimulating environment where your ideas are valued and you will have the opportunity to contribute to innovative projects with a real impact.
As an Application Scientist, you will report to the Head of the Application Laboratory within the Innovation Department. You will be responsible for developing CW and pulsed fiber-optic systems to measure the performance of Coractive’s active optical fibers.
The use of English is required for the following reasons:
Joining Coractive means enjoying numerous benefits, including:
Interested in this role? Here are the challenges in more detail:
What's that little something extra that sets Coractive employees apart?
Are you passionate about the world of science and technology? Joining Coractive means becoming part of a leading manufacturer of optical fibers for various industrial applications, serving clients worldwide for 25 years!
Did you know? To promote employee well-being, Coractive gives $5 a day to every employee who cycles to work.
Want to join our team? Apply directly online or send your resume to ressources.humaines@coractive.com. You can follow us on Facebook and LinkedIn or visit our website at www.coractive.com.
Note: Coractive is committed to employment equity. The use of masculine pronouns in this text is solely for the purpose of brevity. We believe in the principle of employment equity and are open to accommodations during the selection process.
We are looking for a candidate with the following profile: