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. 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 challenging master thesis on efficient neural networks and their sensor-aware training, using compressed sensor data.

What awaits you?

• You will research literature on state-of-the-art methods to train efficient convolutional neural networks with varying sensor qualities and compressed input sensor data.
• You will implement a new method to improve the training of efficient neural networks with compressed camera data.
• You will prepare datasets and perform exhaustive experiments to improve and validate the developed method.
• You will develop a novel method, which might lead to a publication at an international peer-reviewed conference, contributing to the scientific community.
• You will present your results to our team, who will support you throughout your thesis.
• You will work in a diverse team of doctoral candidates and students at the Autonomous Driving Campus, outside Munich.

Please note that you must ensure that the thesis is supervised by a university.

What should you bring along?

• You are a master student approaching the end of your degree in computer science or related fields with focus on machine learning or artificial intelligence.
• You are familiar with deep learning and have a good understanding of machine learning and computer vision.
• You know how to train a convolutional neural network.
• Programming skills – Tensorflow, Python.
• You speak English fluently.
• You are highly motivated and able to work dynamically in a team.

Do you enjoy learning new things and broaden your horizon? Apply now!

Earliest starting date: 01.09.2022

Duration: 6 months
Working hours: full-time

Contact:
BMW Group Recruiting Team

+49 89 382-17001