Master's Thesis in The Area of Active Learning for
vor 3 Wochen
THE FUTURE WILL NEVER SIMPLY WORK IN THEORY.
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.
We, the BMW Group, offer you an interesting and variedmasters thesis on active learning for autonomous driving with neural networks.
For autonomous vehicles, it is of great importance to recognize other road users and objects at an early stage, with a high degree of certainty. Convolutional neural networks are a promising approach in this case, enabling 3D object detection with unprecedented accuracy. However, the diversity in the scenarios which an autonomous driving system might encounter emphasizes the careful consideration of corner cases. Within the scope of this thesis, an active learning method shall be developed to provide and collect relevant data for 3D object detection models, aiming to improve task-related metrics.
What awaits you?
- Research on state-of-the-art methods in literature on active learning and object detection algorithms.
- Implementation experience by developing a new method for active learning with neural networks to efficiently detect scenes that increase the expressiveness of training data for object detection.
- Evaluating the success of the novel active learning method on publicly available research datasets.
- Engagement in a team with experience in publishing at international peer-reviewed conferences.
- Presenting the results of the thesis using the scientific method, both in written and oral form.
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 have strong knowledge in computer vision concepts (2D and 3D object detection, semantic segmentation) and convolutional neural networks.
- You have very good programming skills in Python, Tensorflow and worked with modern programming environment tools such as Docker and Git.
- You speak English fluently.
- You are motivated at solving problems independently as well as sharing ideas and working in a team.
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 atbmwgroup.jobs/diversity.
**Earliest starting date**: 15.01.2023
**Duration**: 6 months.
**Working hours**: fulltime
**Contact**:
BMW Group Recruiting Team
+49 89 382-17001
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