Stage / internship : Deep Learning applied to physics - AI - Python

 Requisition #: 15346 

 

Our Mission: Powering Innovation That Drives Human Advancement  

 

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. 

 

Innovate With Ansys, Power Your Career.  

 

Summary / Role Purpose

The SimAI platform is a SaaS AI-based technology that brings unprecedented speed, innovation, and accessibility to simulation. It is built on proprietary Deep Learning algorithms at the forefront of AI. With Ansys SimAI, users can train AI models using simulation results and reliably predict the performance of complex problems in minutes instead of hours or days. It empowers users to make faster decisions, iterate more quickly, and ultimately drive faster innovation.

 

The Machine Learning team of SimAI is looking for a promising research intern to focus on methodologies to estimate uncertainty of neural networks's predictions. As part of the project, the intern will have the opportunity to survey, implement and compare existing approaches, as well as develop new methodologies.

This internship provides a unique opportunity to study Deep Learning applied to Physics with a team of international experts.

 

As your main missions, you will:

• Collaborate closely with, and receive mentorship from the other members of the R&D team
• Study the state of the art of Uncertainty Estimation in Deep Learning
• Understand the deep learning models and the uncertainty quantification methods used in production
• Propose and implement new adapted methods to quantify the uncertainty of the predictions delivered by the deep learning models
• Evaluate and compare these methods on simple and industrial use cases

 

This position is primarily based in Paris, France.
One or two remote working days are possible

 

Context

Deep Learning has opened new possibilities for physical simulations, such as approximating the functional space of Partial Differential Equations (PDEs). However, traditional neural networks provide deterministic predictions, offering only point estimates, as the connections between neural states are defined by scalar weights. This approach makes it difficult to measure the uncertainty of Deep Learning models' predictions. In physical simulations, uncertainty quantification is essential to help engineers make informed decisions under real-world constraints.

 

Minimum Education/Certification Requirements and Experience

• MSc year 2+ level in Machine Learning, Computer Science, or related field (MS intership in Engineering School or University)
• Good knowledge of Python and Linux environement
• Experience with Deep Learning frameworks (PyTorch, Tensorflow, etc.)
• Motivation to work at the intersection of Physics and AI
• Excellence in communication and technical writing
• Fluent in English (spoken and written)

 

Preferred Qualifications and Skills

• Good communication and interpersonal skills
• Fluency with Git and basic software engineering patterns
• Good knowledge of Physics
• Ability to work collaboratively in a geographically distributed team

 

At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential. We are ONE Ansys. We operate on three key components: the commitments to our stakeholders, the behaviors of how we work together, and the actions of how we deliver results. Together as ONE Ansys, we are powering innovation that drives human advancement. 

  

Our Commitments: 

• Amaze with innovative products and solutions
• Make our customers incredibly successful
• Act with integrity
• Ensure employees thrive and shareholders prosper

 

Our Values: 

• Adaptability: Be open, welcome what's next
• Courage: Be courageous, move forward passionately
• Generosity: Be generous, share, listen, serve
• Authenticity: Be you, make us stronger

 

Our Actions: 

• We commit to audacious goals
• We work seamlessly as a team
• We demonstrate mastery
• We deliver outstanding results

 

INCLUSION IS AT OUR CORE 
We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive. 

 
WELCOME WHAT’S NEXT IN YOUR CAREER AT ANSYS 

At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high — met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost. 

  

At Ansys, it’s about the learning, the discovery, and the collaboration. It’s about the “what’s next” as much as the “mission accomplished.” And it’s about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics. 
  

CREATING A PLACE WE’RE PROUD TO BE  
Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: Newsweek’s Most Loved Workplace globally and in the U.S., Gold Stevie Award Winner, America’s Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (Belgium, China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, and U.K.). 

  
For more information, please visit us at www.ansys.com 
  

Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. 
  
Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.