NO NEED TO PREDICT THE FUTURE. YOU CAN CREATE IT.
SHARE YOUR PASSION.
World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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.
Our team is involved in research and pre-development in the field of electric vehicle batteries with a focus on charging. The aim of this project is to increase the service life of the battery through charging recommendations based on the prediction of customer behavior.
What awaits you?
– Development of deep learning models to predict customer behavior.
– An existing database on which the first machine learning models have already been trained.
– Insights into research and pre-development in the field of high-voltage storage systems.
– With your work, you can make a valuable contribution to the service life and thus sustainability of batteries for electric cars.
Please note that the supervision of your thesis must be ensured by your university.
What should you bring along?
– Degree in computer science, data science, mathematics, mechanical engineering, electrical engineering or a related field.
– Knowledge of machine learning and deep learning.
– Experience with software development in Python and deep learning frameworks such as PyTorch.
– Strong analytical skills and initiative.
– Effective communication skills in English. German language skills are a plus, but not mandatory.
What do we offer?
– Comprehensive mentoring & onboarding.
– Personal & professional development.
– Work-Life-Balance & flexible working hours.
– Digital offers & mobile working.
– Attractive Renumeration.
– Apartment offers for students (only Munich).
– And many other benefits – see
You enjoy learning new things and broadening your horizon? 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: 02/01/2024
Duration: 6 months
Working hours: Full-time
Contact:
BMW Group HR Team
+49 89 382-17001
NO NEED TO PREDICT THE FUTURE. YOU CAN CREATE IT.
SHARE YOUR PASSION.
World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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.
Our team is involved in research and pre-development in the field of electric vehicle batteries with a focus on charging. The aim of this project is to increase the service life of the battery through charging recommendations based on the prediction of customer behavior.
What awaits you?
– Development of deep learning models to predict customer behavior.
– An existing database on which the first machine learning models have already been trained.
– Insights into research and pre-development in the field of high-voltage storage systems.
– With your work, you can make a valuable contribution to the service life and thus sustainability of batteries for electric cars.
Please note that the supervision of your thesis must be ensured by your university.
What should you bring along?
– Degree in computer science, data science, mathematics, mechanical engineering, electrical engineering or a related field.
– Knowledge of machine learning and deep learning.
– Experience with software development in Python and deep learning frameworks such as PyTorch.
– Strong analytical skills and initiative.
– Effective communication skills in English. German language skills are a plus, but not mandatory.
What do we offer?
– Comprehensive mentoring & onboarding.
– Personal & professional development.
– Work-Life-Balance & flexible working hours.
– Digital offers & mobile working.
– Attractive Renumeration.
– Apartment offers for students (only Munich).
– And many other benefits – see
You enjoy learning new things and broadening your horizon? 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: 02/01/2024
Duration: 6 months
Working hours: Full-time
Contact:
BMW Group HR Team
+49 89 382-17001
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