Intern Scientific Machine Learning for PDEs and Optimization (f/m/x)

A GOOD INTERNSHIP IS NEVER HANDS OFF.

SHARE YOUR PASSION.

We believe in creating an environment where our interns really can learn by doing  and where they are given their own areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

We, the BMW Group, offer you an interesting and varied internship in the area of Scientific Machine Learning for PDEs.

What awaits you?

• Interesting projects based on Scientific and Physics-Informed Machine Learning architectures.
• Design, implementation and analysis of state-of-the-art ML/DL algorithms tailored for CAE applications.
• Possible deployment of ML algorithms in the development environment with end-to-end responsability.

What should you bring along? 

• Curiosity for AI problems and practical mindset.
• BSc in Mathematics, Physics, Computer Science or related fields.
• Good programming skills with Python: practical experience in at least one of the deep learning frameworks like Pytorch or JAX is a plus.
• Theoretical and practical experience in at least one of the fields and at least interest in the other one: Analysis and numerical resolution of ODEs and PDEs and Machine Learning algorithms, especially Neural Networks.

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Digital offers & mobile working.
• Attractive remuneration.
• Apartment offers for students (subject to availability & only Munich).
• And many other benefits - see bmw.jobs/benefits

You enjoy working in an international team? Apply now!

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
 

Earliest starting date: from 05/20/2024

Duration: 6 months

Working hours: Full-Time

Contact:
BMW Group HR Team
+49 89 382-17001

TRAVEL THROUGH THE WORLD OF MOBILITY: EXPERIENCE WHAT MOVES US.

Would you like to get to know the BMW Group as an employer and find out how you can use your talent with us?

At our Students Day on 11.05.2024 in Munich, we offer you the opportunity to do so!

You can find all information at bmwgroup.jobs/studentsday