Stage / 6 month internship : image signal treatment / ADAS / simulation / machine learning

Toulouse, FR, 31100

Ansys

Ansys engineering simulation and 3D design software delivers product modeling solutions with unmatched scalability and a comprehensive multiphysics foundation.

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 Requisition #: 15263 

 

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.  

 

Stage de fin d'études de 6 mois niveau master ou fin d'études d'ingénieur à Sophia Antipolis, dans notre bureau de R&D en simulation pour les véhicules autonomes, pour un(e) étudiant(e) en traitement du signal, maths appliquées ou ingénieur systèmes, intéressé par les domaines suivants: ADAS, traitement du signal (image), modélisation, statistiques, machine learning

 

Physical accuracy validation for virtual simulation in automotive

 

Summary / Role Purpose 

 

In the context of our Autonomous Vehicle sensors & headlamp simulation (our AVXcelerate products line), we offer a realistic simulation of perception systems. It is critical for Ansys to validate the quality of models and to prove physical accuracy of simulation. However, it is not a trivial problem, since reference data is difficult to access (need a fleet of vehicles to collect it) and to replicate in a virtually simulated world. It is thus important to propose an indirect approach using relevant metrics and assessing not only output information, but the input one as well. The goal of the internship is to construct such a kind of metric. 

 

Key Duties and Responsibilities 

 

In this role, your key activity will be to: 

  • Study and propose a relevant metric for simulation assessment 

  • Construct a relevant GT and simulation datasets 

  • Assess the performances of the simulation 

 

Minimum Education/Certification Requirements and Experience 

 

  • Student of Master 2 level in system engineering, signal processing or applied maths. 
  • First experience in automotive or ADAS is a plus 

 

Preferred Qualifications and Skills  

Theoretical knowledge: 

  • Good knowledge in modeling, identification, statistics 

  • Good understanding of physics or sensors 

  • Image (signal) processing or machine learning is a plus  

Programming: 

  • Python, Matlab, R or another data analysis tool 

  • Notions of C# or C++ 

 

 

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. 

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Tags: Data analysis Engineering Machine Learning Matlab Physics Python R R&D Statistics

Region: Europe
Country: France

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