Student for Master Thesis in Automotive Machine Learning (m/f/d)

  • Aptiv
  • Wuppertal, Germany
  • 28/05/2021
Full time Data Science Machine Learning Data Analytics Big Data Data Management Statistics

Job Description

One key technology for further pushing the boundaries of advanced driver assistance systems and autonomous driving is machine learning/artificial intelligence (AI). We are searching for talented students who bring in new ideas and help to develop our next generation of AI algorithms.

We are developing computer vision algorithms for interior sensing/cabin monitoring which are able to determine the seat occupancy of all seats (empty, occupied by person, occupied by child seat etc.) or the seat belt status (seat belt fastened/not fastened, proper/improper routing) in real-time based on video images. We want to improve these algorithms, add more features and make them so reliable that they can go into series production.

If you are looking for an interesting topic for your master’s thesis and want it to be close to the industry and real-world applications, please get in touch! We also offer PhD positions subsequent to a successful master’s thesis.

Your Tasks and Potential Topics for a Master Thesis

  • In general: Support us in topics related to computer vision and machine learning/artificial intelligence, i.e. algorithm development, data preparation and processing in Python, neural network training, deployment of neural networks for real-time execution, visualization of results, generation of performance statistics etc.

  • Example topic 1: Estimate the size of driver/co-driver, detect if people are out of position (e.g. leaning forward/backward) and detect if the arms/hands are likely occluding the seat belt.

  • Example topic 2: Detect if child is sitting directly on the car seat or on a child seat.

  • Example topic 3: Detect if the camera’s view on driver/passenger seat is blocked, e.g. by a hand or an object

Your Background

  • Your enrolled at a German University and are at the end of your Masters Degree studies in Electrical Engineering, Computer Science, or similiar and just have your thesis left

  • You have practical experience with computer vision or machine learning algorithms

  • You have practical experience with at least one ML framework like Tensorflow, Keras, Caffe, PyTorch, fast.ai etc

  • You are able to program self-reliant in C/C++ and/or Python

  • You have good English skills, German skills would be a plus

  • You are looking for a challenging task and like to be part of a team

Some See Differences. We See Perspectives that Make Us Stronger.

Diversity and Inclusion are sources of innovation and creativity, both of which are essential to Aptiv’s success. Everyday our diverse team comes together, drives innovation, pursues solutions, and meets challenges using their unique abilities, perspectives and talents, changing what tomorrow brings. When you join our team, you’ll get encouraged to think boldly, express your viewpoint and innovate as a matter of habit.

Some See Technology. We See a Way to Make Connections.

At Aptiv, we don’t just see the world differently; we work to change reality. That means developing technology that rewrites the rules of what’s possible in the pursuit of making transportation safer, greener and more connected. Today there are more than 180,000 of us globally, located in 44 countries, and united by one mission. Join the movement and together, let’s change tomorrow.

Are you interested? Awesome!

Please include your CV and a current overview of courses taken in your Bachelors and Masters degree and an overview of the respective grades in your application.

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law