Stellenbezeichnung: Intern in the area of Scientific Machine Learning for PDEs (f/m/x)

Firma: BMW

Arbeitsort / Location: München, Bayern

Job Beschreibung: SOME IT WORKS. SOME CHANGES WHAT’S POSSIBLE.

SHARE YOUR PASSION.

More than 90% of automotive innovations are based on electronics and software. That’s why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And 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 internhship 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 Tensorflow, Pytorch is a plus.
Theoretical and practical experience in at least one of the fields below and at least interest in the other one:
Analysis and numerical resolution of ODEs and PDEs.
Machine Learning algorithms, especially Neural Networks.

What do we offer?

Comprehensive mentoring & onboarding.
Personal & professional development.
Work-Life-Balance & flexible working hours.
Digital offers & mobile working.
Attractive remuneration.
Apartment offers for employees (only Munich).
And many other benefits – see

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

Earliest starting date: 11/01/2023

Duration: 6 months

Working hours: Part-time or full-time

Contact:

BMW Group HR Team

+49 89 382-17001

Gehalts Budget:

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